{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "In this notebook, we introduce the search space of NAS for HyperTS."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "import tensorflow as tf\n",
    "from hypernets.searchers.random_searcher import RandomSearcher\n",
    "\n",
    "from hyperts.framework.dl import layers\n",
    "from hyperts.framework.search_space.micro_search_space import TSNASGenrealSearchSpace"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 1. Load TSNAS search space"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "nas_search_space = TSNASGenrealSearchSpace(num_blocks=4, num_nodes=4, init_filters_or_units=64)\n",
    "nas_search_space.update_init_params(task='forecast',\n",
    "                                    timestamp='timestamp',\n",
    "                                    metrics='accuracy',\n",
    "                                    covariables=None,\n",
    "                                    window=[3, 6, 9],\n",
    "                                    horizon=1,\n",
    "                                    freq='H')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 2. Init model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "searcher = RandomSearcher(nas_search_space, optimize_direction='min')\n",
    "space_sample = searcher.sample()\n",
    "inp1 = layers.Input(shape=(4, 3))\n",
    "inp2 = layers.Input(shape=(4, 5))\n",
    "concat = layers.Concatenate()([inp1, inp2])\n",
    "space, outputs = space_sample.compile_and_forward(concat)\n",
    "model = tf.keras.models.Model(inputs=[inp1, inp2], outputs=outputs[0])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 3. Summary model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"functional_1\"\n",
      "__________________________________________________________________________________________________\n",
      "Layer (type)                    Output Shape         Param #     Connected to                     \n",
      "==================================================================================================\n",
      "input_1 (InputLayer)            [(None, 4, 3)]       0                                            \n",
      "__________________________________________________________________________________________________\n",
      "input_2 (InputLayer)            [(None, 4, 5)]       0                                            \n",
      "__________________________________________________________________________________________________\n",
      "concatenate (Concatenate)       (None, 4, 8)         0           input_1[0][0]                    \n",
      "                                                                 input_2[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "relay_input (Identity)          (None, 4, 8)         0           concatenate[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "stem_gru (GRU)                  (None, 4, 64)        14208       relay_input[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "stem_layernorm (LayerNormalizat (None, 4, 64)        128         stem_gru[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "choice_identity (Identity)      (None, 4, 64)        0           stem_layernorm[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "head_identity (Identity)        (None, 4, 64)        0           choice_identity[0][0]            \n",
      "__________________________________________________________________________________________________\n",
      "tsnas_node1_cellblock0_0_identi (None, 4, 64)        0           head_identity[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "tsnas_block0_node1_reduce0_fact (None, 4, 32)        2176        tsnas_node1_cellblock0_0_identity\n",
      "__________________________________________________________________________________________________\n",
      "tsnas_block0_node1_add (Add)    (None, 4, 32)        0           tsnas_block0_node1_reduce0_factor\n",
      "                                                                 tsnas_block0_node1_reduce0_factor\n",
      "__________________________________________________________________________________________________\n",
      "tsnas_node3_cellblock0_0_lstm ( (None, 4, 16)        3136        tsnas_block0_node1_add[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "tsnas_node0_cellblock0_0_lstm ( (None, 4, 32)        12416       head_identity[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "tsnas_node2_cellblock0_0_identi (None, 4, 8)         0           relay_input[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "tsnas_block0_node3_reduce0_fact (None, 4, 8)         160         tsnas_node3_cellblock0_0_lstm[0][\n",
      "__________________________________________________________________________________________________\n",
      "tsnas_block0_node0_add (Add)    (None, 4, 32)        0           tsnas_node0_cellblock0_0_lstm[0][\n",
      "                                                                 tsnas_node0_cellblock0_0_lstm[0][\n",
      "__________________________________________________________________________________________________\n",
      "tsnas_block0_node2_add (Add)    (None, 4, 8)         0           tsnas_node2_cellblock0_0_identity\n",
      "                                                                 tsnas_node2_cellblock0_0_identity\n",
      "__________________________________________________________________________________________________\n",
      "tsnas_block0_node3_add (Add)    (None, 4, 8)         0           tsnas_block0_node3_reduce0_factor\n",
      "                                                                 tsnas_block0_node3_reduce0_factor\n",
      "__________________________________________________________________________________________________\n",
      "Module_SafeMerge_1 (Concatenate (None, 4, 152)       0           head_identity[0][0]              \n",
      "                                                                 relay_input[0][0]                \n",
      "                                                                 tsnas_block0_node0_add[0][0]     \n",
      "                                                                 tsnas_block0_node1_add[0][0]     \n",
      "                                                                 tsnas_block0_node2_add[0][0]     \n",
      "                                                                 tsnas_block0_node3_add[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "tsnas_node0_cellblock1_0_separa (None, 4, 16)        2904        Module_SafeMerge_1[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "tsnas_block1_node0_add (Add)    (None, 4, 16)        0           tsnas_node0_cellblock1_0_separabl\n",
      "                                                                 tsnas_node0_cellblock1_0_separabl\n",
      "__________________________________________________________________________________________________\n",
      "tsnas_node1_cellblock1_0_identi (None, 4, 16)        0           tsnas_block1_node0_add[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "tsnas_node2_cellblock1_0_lstm ( (None, 4, 16)        5184        head_identity[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "tsnas_node3_cellblock1_0_gru (G (None, 4, 16)        8160        Module_SafeMerge_1[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "tsnas_block1_node1_add (Add)    (None, 4, 16)        0           tsnas_node1_cellblock1_0_identity\n",
      "                                                                 tsnas_node1_cellblock1_0_identity\n",
      "__________________________________________________________________________________________________\n",
      "tsnas_block1_node2_add (Add)    (None, 4, 16)        0           tsnas_node2_cellblock1_0_lstm[0][\n",
      "                                                                 tsnas_node2_cellblock1_0_lstm[0][\n",
      "__________________________________________________________________________________________________\n",
      "tsnas_block1_node3_add (Add)    (None, 4, 16)        0           tsnas_node3_cellblock1_0_gru[0][0\n",
      "                                                                 tsnas_node3_cellblock1_0_gru[0][0\n",
      "__________________________________________________________________________________________________\n",
      "Module_SafeMerge_2 (Concatenate (None, 4, 280)       0           head_identity[0][0]              \n",
      "                                                                 tsnas_block1_node0_add[0][0]     \n",
      "                                                                 tsnas_block1_node1_add[0][0]     \n",
      "                                                                 tsnas_block1_node2_add[0][0]     \n",
      "                                                                 tsnas_block1_node3_add[0][0]     \n",
      "                                                                 Module_SafeMerge_1[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "tsnas_node0_cellblock2_0_lstm ( (None, 4, 32)        23680       Module_SafeMerge_1[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "tsnas_block2_node0_add (Add)    (None, 4, 32)        0           tsnas_node0_cellblock2_0_lstm[0][\n",
      "                                                                 tsnas_node0_cellblock2_0_lstm[0][\n",
      "__________________________________________________________________________________________________\n",
      "tsnas_node1_cellblock2_0_lstm ( (None, 4, 32)        40064       Module_SafeMerge_2[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "tsnas_node3_cellblock2_0_separa (None, 4, 64)        18264       Module_SafeMerge_2[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "tsnas_block2_node1_reduce0_fact (None, 4, 16)        576         tsnas_node1_cellblock2_0_lstm[0][\n",
      "__________________________________________________________________________________________________\n",
      "tsnas_node2_cellblock2_0_separa (None, 4, 16)        688         tsnas_block2_node0_add[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "tsnas_block2_node3_reduce0_fact (None, 4, 32)        2176        tsnas_node3_cellblock2_0_separabl\n",
      "__________________________________________________________________________________________________\n",
      "tsnas_block2_node1_add (Add)    (None, 4, 16)        0           tsnas_block2_node1_reduce0_factor\n",
      "                                                                 tsnas_block2_node1_reduce0_factor\n",
      "__________________________________________________________________________________________________\n",
      "tsnas_block2_node2_add (Add)    (None, 4, 16)        0           tsnas_node2_cellblock2_0_separabl\n",
      "                                                                 tsnas_node2_cellblock2_0_separabl\n",
      "__________________________________________________________________________________________________\n",
      "tsnas_block2_node3_add (Add)    (None, 4, 32)        0           tsnas_block2_node3_reduce0_factor\n",
      "                                                                 tsnas_block2_node3_reduce0_factor\n",
      "__________________________________________________________________________________________________\n",
      "Module_SafeMerge_3 (Concatenate (None, 4, 528)       0           tsnas_block2_node0_add[0][0]     \n",
      "                                                                 tsnas_block2_node1_add[0][0]     \n",
      "                                                                 tsnas_block2_node2_add[0][0]     \n",
      "                                                                 tsnas_block2_node3_add[0][0]     \n",
      "                                                                 Module_SafeMerge_1[0][0]         \n",
      "                                                                 Module_SafeMerge_2[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "tsnas_node0_cellblock3_0_separa (None, 4, 64)        18264       Module_SafeMerge_2[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "tsnas_node1_cellblock3_0_identi (None, 4, 528)       0           Module_SafeMerge_3[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "tsnas_block3_node0_reduce0_fact (None, 4, 16)        1088        tsnas_node0_cellblock3_0_separabl\n",
      "__________________________________________________________________________________________________\n",
      "tsnas_block3_node1_reduce0_fact (None, 4, 64)        34048       tsnas_node1_cellblock3_0_identity\n",
      "__________________________________________________________________________________________________\n",
      "tsnas_node2_cellblock3_0_separa (None, 4, 64)        18824       Module_SafeMerge_2[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "tsnas_node3_cellblock3_0_gru (G (None, 4, 64)        114048      Module_SafeMerge_3[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "tsnas_block3_node0_add (Add)    (None, 4, 16)        0           tsnas_block3_node0_reduce0_factor\n",
      "                                                                 tsnas_block3_node0_reduce0_factor\n",
      "__________________________________________________________________________________________________\n",
      "tsnas_block3_node1_add (Add)    (None, 4, 64)        0           tsnas_block3_node1_reduce0_factor\n",
      "                                                                 tsnas_block3_node1_reduce0_factor\n",
      "__________________________________________________________________________________________________\n",
      "tsnas_block3_node2_add (Add)    (None, 4, 64)        0           tsnas_node2_cellblock3_0_separabl\n",
      "                                                                 tsnas_node2_cellblock3_0_separabl\n",
      "__________________________________________________________________________________________________\n",
      "tsnas_block3_node3_add (Add)    (None, 4, 64)        0           tsnas_node3_cellblock3_0_gru[0][0\n",
      "                                                                 tsnas_node3_cellblock3_0_gru[0][0\n",
      "__________________________________________________________________________________________________\n",
      "Module_SafeMerge_4 (Concatenate (None, 4, 1016)      0           tsnas_block3_node0_add[0][0]     \n",
      "                                                                 tsnas_block3_node1_add[0][0]     \n",
      "                                                                 tsnas_block3_node2_add[0][0]     \n",
      "                                                                 tsnas_block3_node3_add[0][0]     \n",
      "                                                                 Module_SafeMerge_2[0][0]         \n",
      "                                                                 Module_SafeMerge_3[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "tsnas_out_relu (Activation)     (None, 4, 1016)      0           Module_SafeMerge_4[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "tsnas_out_gap (GlobalAveragePoo (None, 1016)         0           tsnas_out_relu[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "tsnas_out_drouout (Dropout)     (None, 1016)         0           tsnas_out_gap[0][0]              \n",
      "==================================================================================================\n",
      "Total params: 320,192\n",
      "Trainable params: 319,856\n",
      "Non-trainable params: 336\n",
      "__________________________________________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "model.summary()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 4. Plot network architecture"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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vCggIMLukM+Lw4cPGwvux3b1O1O3rm7u6RkREKD4+3gh2JSUladiwYUYILDY21ri/T58+Cg0NNWmkwPmlvr6+03TWe+ONNxQSEmJ2GQDOQ6WlpZK+/ncI323Lli38ew10cfn5+UpOTlZYWJjZpQD4HnhvA6CziYiIUEREhKxW63ee69/ArKysTF6vV+Xl5UaYbPv27aqsrFRlZaWOHDliPCY0NNToQuYPjyUkJLQJmPk7lwUFBZ3NoQIAAOA8FeDz+XxmFwEAAAAAAADgay0tLfrBD36g7Oxsbdq0SSkpKWaX9K0OHz6s6upqY/fVyspKo9tXRUWFEQKrrKzUoUOH2jy2Z8+eiouLa9PtKy4uTnFxcUbQy7/7ap8+fdS9e3eTRgng2zz++ONatmyZ3G632aV8q27duh3XcRAAAAAA8P2EhoaqoaHB7DIAwDQ1NTVG97Hy8vITXtfV1RmPCQwMVFxcnBISEtoEyuLi4pSSktKmO1m3bt1MHB0AAAA6GzqJAQAAAAAAAB3IL3/5S61bt04ff/yxaQExf/CrqqpKXq9XVVVVxq6p/uCX1+tVZWWl6uvr2zw2JibG6OaVlJSk4cOHKy4uTklJSUa3r4SEBPXp04cd44Euor6+Xj179jS7jO/ElxYBAB1Rr169tGDBAt1xxx1mlwKcMy0tLSopKZHL5VJubq48Ho9cLpdcLpcOHjwoSYqMjJTVapXT6ZTD4ZDValVWVpYyMjIUHMxXXQAAQMfRu3dv9e7dW06n81vPO3z4sNGNzN+FzH/Zs2ePtm7dqqqqKu3bt6/N42JiYpSYmCiLxaLk5GQlJyfLYrEoKSlJKSkpslgsfNYOAAAAA5+cAQAAAAAAAB3E888/r0WLFmn58uUaOXLkGX3uI0eOtNvxyx/28ge/Kioqjgt+RUdHGx29EhMTjeBXYmKi0QksISFBcXFxCg0NPaN1A+gc+CIKAACnrrS0VHV1dd/5ZVKgqwkKClJGRoYyMjJ0zTXXtLnP6/UqNzdXbrdbbrdbLpdLH3/8sUpLSyV93bGof//+cjgcstvtxrXdbu8UGxcAAIDzV1hYmDIzM5WZmfmt5zU0NBjdx7xer8rKylRVVaXS0lLl5+fr008/VWlpqY4cOWI8pnfv3kZgzB8eS01NVXJysnGb90oAAADnB0JiAAAAAAAAQAewdu1azZo1S/PmzdNNN910Uo85evSoqqurVVFRob1796qqqkpVVVXHhcDaC35FRUUZwa7ExEQNHTq0TcevhIQEgl8AAADAWbR7925J0sCBA02uBOg44uLiFBcXp4svvrjN8fr6+jYdxzwej1avXq2CggI1NTUpICBAqampstlscjqdstvtstlsysrKUmxsrDmDAQAAOA3dunVTamqqUlNTv/W8ffv2qaKiQqWlpdqzZ49x+8svv9S6detOGCT7ZnjMf7tv374KDw8/28MDAADAWRbg8/l8ZhcBAAAAAAAAnM8KCgo0ZswYXXrppVq+fLkOHz6ssrIyY7dQfxCsqqpKFRUVqqysVFVVlQ4cONDmefzBr9jYWCUmJio+Pl6xsbFKTk5WbGys4uPjlZiYqNjYWHXr1s2k0QLoan79619rw4YNWr9+vdmlAADQqfzhD3/Q4sWLVVJSYnYpQKfV1NSkoqIi5eTkyO12y+PxGJ3I6urqJH3dHdtutxvhMX8HsrS0NAUGBpo8AgAAgLNn//79Ki8vV2lpqcrKyozb5eXlKisrO2GQrG/fvkpJSWlzOzk5WampqQTJAAAAOjg6iQEAAAAAAADnyIEDB4yAlz/0VVRUpNdee00+n09ffPGFIiIidOjQIeMxwcHBio+PV1JSkhISEtSvXz+NHTtWiYmJSkpKMoJfcXFxBL8AAACATiQnJ0cDBgwwuwygUwsJCZHVapXVaj3uvvLycqPzmNvtltvt1jvvvKOqqipJUvfu3WWz2YwAmf+23W5nfg0AALqEmJgYxcTEaNCgQSc858CBA0Zg7NjwWGFhodatW6c9e/bo8OHDxvm9e/c2AmP+8Fh6erpSU1OVlpam5ORkhYSEnIvhAQAAoB2ExAAAAAAAAIDvwefzqbq6Wl6vV2VlZcZ1e13Ajh49ajyue/fuSkhIUE1NjZqamnTTTTepX79+SklJUVxcnHEdHx+vgIAAE0cIAN/u2N2GAQDAycvOztbll19udhlAl5WcnKzk5GRddtllbY7X1tbK7XYrJydHHo9Hbrdby5YtU1FRkVpaWhQUFCSLxSKHwyGn0ymr1Sqn0ymHw6GoqCiTRgMAAHB2REdHKzo6+qSCZHv27FFZWZlx2x8kKykpMdY/goKCjBDZseGxY6+7d+9+roYHAABw3gnw+Xw+s4sAAAAAAAAAOpqmpiZ5vV4j4FVRUXFcF7CKigpVV1erubnZeFzPnj2NgFdycrISEhKMLmCJiYnGJTo6WrNmzdJLL72kTz75RCNGjDBxtABw+u655x7t3r1b69evN7sUAAA6jebmZoWHh2vp0qWaMWOG2eUAkNTY2Ki8vDy5XC55PB7l5uYaHcj8GyPExcXJ6XQaHcccDofsdrtSU1NNrh4AAMBcVVVVKikpOe5SXFyskpIS1dXVGecmJia2Gx5LT09XWlqaevbsaeJIAAAAOjc6iQEAAAAAAOC8s3//flVWVmrPnj3GdUVFhSoqKrRnzx5VVVXJ6/Xq2P2VoqKijIBXUlKS7Ha7kpKSFB8fr+TkZMXHxyslJeWkFy+XLFmiZ599VitWrCAgBgAAAJxnCgoK1NDQoAEDBphdCoD/ExoaqgEDBhz336XP51NJSYncbrdyc3Pl8XiUk5OjN954Q/v375f09YYx/tCYw+GQzWaT0+lU//79FRISYsZwAAAAzqmEhAQlJCRo1KhR7d5/4MCBdsNjH330kUpKSoz3VZIUHx+v9PR0paenKyMjQxkZGcbPffv2VVBQ0LkaFgAAQKdDJzEAAAAAAAB0GU1NTaqqqjJCX+Xl5SovLzfCX/5j/h3AJSk8PFx9+/ZVUlKSkpOTlZKSooSEhOO6gHXv3v2M1bl27VpNnDhRv/3tbzVv3rwz9rwAYAY6iQEAcOpWrlypadOmqa6uTj169DC7HACnaf/+/crNzZXL5VJeXp5ycnLkdrtVWlqq1tZWBQcHKyMjQ1lZWbLb7UZ4zG63KyIiwuzyAQAAOoz6+nqVlJSosLBQRUVFxrX/9qFDhyRJISEhRtexbwbIMjIyFBMTY/JIAAAAzEVIDAAAAAAAAJ1CbW2tysvLVVZWdsIuYFVVVUb3r8DAQKO7V2JiolJTU5WQkHBcIOxcfymroKBAo0eP1uWXX66//e1vCggIOKe/HwDOtIcfflgff/yxtm7danYpAAB0Go888oj+53/+R2632+xSAJwFR44ckdvtltvtlsvlMq7z8/PV0NAgSUpOTpbD4TA6kNntdjmdTiUkJJhcPQAAQMdTXV3dJjR27O2ysjI1NzdLknr16qX09HT169dP/fv3V0ZGhvr376/+/furb9++CgwMNHkkAAAAZxchMQAAAAAAAJiqpaVFVVVVbcJf7XUB8+8SKUlhYWFKSUlRUlKSce0PfSUmJqpv375KSEhQcHCwiSM7Xm1trUaPHq3IyEitXbtWYWFhZpcEAN/bY489pjfeeEPZ2dlmlwIAQKcxZcoUBQYG6o033jC7FADnUEtLi4qKipSbmyuPxyO3262cnBx5PB7V1NRIkiIjI2W325WVlSWr1SqHwyGn06n09HQFBQWZPAIAAICOp6mpSaWlpW0CZIWFhSooKFBBQYG++uorSVK3bt2UkZFhBMiOvVgslg63pgQAAHA6eEcDAAAAAACAs+bo0aMqLS1VWVnZCbuAVVdXq6WlxXhMfHy8EfqyWq0aP378cV3AoqKiTBzV6WlpadGNN96o+vp6ffDBBwTEAHQZYWFhqqurM7sMAAA6lZycHN10001mlwHgHAsKCjK+iPxNVVVVRnjM5XLJ5XLp/fffV1lZmSQpNDTUCI3ZbDY5nU7Z7XbZbDY+YwAAAOe1kJAQ9evXT/369Wv3/r179+rLL79UQUGB8vPzVVBQoE2bNunVV1/Vvn37JEnBwcGyWCxtgmOZmZnq16+fMjIyFBoaei6HBAAAcNoIiQEAAAAAAOC0NDc3q6KiQqWlpUYQrKysTCUlJcZtr9drnN+9e/c2Hb/Gjh3bbhewrrrQdv/99+uzzz7Tp59+qpSUFLPLAYAzJjw8nJAYAACn4MiRIyooKNDAgQPNLgVAB5KQkKCEhARdcsklbY7X1dXJ7XbL5XLJ7XbL7XbrjTfeUGFhoZqamhQQECCLxSK73S6n0ymbzSaHwyGHw6E+ffqYNBoAAICOIzY2VrGxsRo9evRx99XU1BgdxwoKClRYWKhdu3Zp1apVqqqqkvR1gCwtLU1Wq1V2u12ZmZmyWq2yWq2s9wAAgA4nwOfz+cwuAgAAAAAAAB1PVVWV9uzZY1y+GQSrqqoyOoCFhIQoKSlJffv2VWpqqlJSUpSamqrU1FT17dtXycnJio2NNXlE5lm8eLHuvfdevf7667rhhhvMLgcAzqhXX31VM2fO1NGjR80uBQCATmH79u0aPny43G63bDab2eUA6KSamppUUFCg3Nxc5eXlKTc3Vy6XS3l5ecYmDjExMXI6nXI4HLJarcrKypLdbldqaqoCAwNNHgEAAEDHVl9fb3Qfy8vLk8fjkcfjUV5enmpqaiR9vYGWPzBmtVpls9mM27169TJ5BAAA4HxESAwAAAAAAOA8VFNToz179qikpER79uxRWVnZcUGwhoYGSVJAQIASEhLUt29fpaSkqG/fvrJYLMbPqampSkhI4MtFJ7B27VpNnDhRc+bM0dy5c80uBwDOuDfffFPXX3+9mpubFRQUZHY5AAB0eMuWLdPtt9+uQ4cO8f9OAGdFaWmp0XXM34HM5XKpurpaktSjRw/Z7Xbj4u88lpmZqW7duplcPQAAQMfn9XrldruNAFleXp7cbrcKCwvV2NgoSUpMTGwTGvMH9i0WiwICAkweAQAA6KoIiQEAAAAAAHQxR44cUWlpqRH4Ki0tPS4IVl9fb5wfHR1thL2ODX5ZLBalpKQoOTlZoaGhJo6o8yooKNCoUaN05ZVX6rXXXmPRD0CX9M9//lNXXXWVampqFBkZaXY5AAB0eA899JA++OAD/etf/zK7FADnmYMHDxqhMbfbrdzcXLndbhUXF6ulpUVBQUFKT0+X0+mUzWaT3W5XVlaWrFaroqKizC4fAACgw2tublZxcbHRecwfIPN4PCovL5ck9ezZ0wjqO51O4z1XRkaGgoODTR4BAADo7AiJAQAAAAAAdCItLS2qrKxUcXGxiouLja5fxwbB9u3bZ5wfFhZmhL384a9jw2AWi0VhYWEmjqjrqq2t1ciRIxUVFaW1a9fyOgPosjZs2KBx48Zpz549SklJMbscAAA6vIkTJyo2NlavvPKK2aUAgCSpoaFBbrdbHo/HCI95PB55PB4dOXJEkpSQkGCEx/ydx2w2m/r27Wty9QAAAJ1DbW2t3G63cnJyjPdcLpdLxcXFam1tVUhIiPr3798mOObv/NqjRw+zywcAAJ0EITEAAAAAAIAOpKmpSWVlZSopKVFxcXGb65KSEu3Zs0dNTU2SpNDQUCUnJxthL38QzGKxKDU1VSkpKYqOjjZ5ROenlpYWXXXVVXK73dq8ebOSk5PNLgkAzppdu3Zp8ODBcrvdstlsZpcDAECHZ7FYdM899+jhhx82uxQA+Fatra0qLi6W2+02OpD5r/fv3y9JioiIMDph+L/E7HQ6lZGRoZCQEJNHAAAA0PEdOXLE6PR6bIDsyy+/VGNjowIDA5WWlian06kBAwZo4MCBGjBggOx2u0JDQ80uHwAAdDCExAAAAAAAAM6hhoYGlZSUqLS0VMXFxcZ1UVGRSktLVV5erpaWFklSjx49lJaWJovForS0NKWmphrX6enpSkxMVEBAgMkjQnvuu+8+/eUvf9H69es1dOhQs8sBgLOqvLxcKSkp2rhxo8aMGWN2OQAAdGi1tbXq3bu33nnnHV1zzTVmlwMAp23v3r3KyclRXl6eXC6XcnNzlZeXp5KSEvl8PqMThr/jmNPplMPhkNVqVUREhNnlAwAAdHjNzc0qLCw0gmPZ2dnKzs6W2+1WY2OjQkJCZLVaNWDAAA0aNEhZWVkaOHCg0tPTWT8EAOA8RkgMAAAAAADgDDpy5IiKioqMzl/+i78bWGVlpfwfx0RERBgBsGNDYBaLRRaLRfHx8SaPBqdj8eLFuvfee/XGG29oypQpZpcDAGfdkSNHFBYWprfeekuTJ082uxwAADq0DRs2aNy4cSopKVFqaqrZ5QDAGXfo0CG53W7l5eUZX2h2u93Kz89XY2OjJCk1NVV2u90Ij/k7kfFZGAAAwHdrampSXl6esrOztWvXLuXk5Gj37t0qKiqSz+dTeHi4nE6nBg0aZHQdGzRokPr06WN26QAA4BwgJAYAAAAAAHAK6urqjMBXcXFxm25gJSUl8nq9xrlRUVFG4MsfBDu2K1hMTIyJI8HZsHbtWl111VWaN2+e5syZY3Y5AHDO9OzZU3/605906623ml0KAAAd2pIlS/SrX/1KNTU1ZpcCAOeUvxOGy+WS2+2Wy+WSy+WSx+NRbW2tpK8/S3M4HLLb7bLb7XI6nbLZbEpPT1dQUJDJIwAAAOjY6uvrlZubq127dhldx3bv3m2sXcbHx2vQoEG64IILNGTIEA0ZMkRWq5X3WQAAdDGExAAAAAAAAI5x8OBBI/BVUlLSpitYcXGxDh48aJwbGxt7XAewY8NgvXr1MnEkONcKCgo0YsQIXX311Xr11VcVEBBgdkkAcM6kpqbq/vvv14MPPmh2KQAAdGg///nPtX37dm3cuNHsUgCgwygvL5fb7ZbH41FOTo48Ho/cbrfKy8slSd26dTM6jx0bHrPZbOrRo4fJ1QMAAHRsXq9Xu3fvNjqP7dixQ9nZ2WpsbFRYWJgGDhyowYMHa/DgwRoyZIgGDRqk8PBws8sGAACniZAYAAAAAAA4rzQ0NKi4uFhFRUUqLCxscykqKtJXX31lnJuYmGgEvo7tAOYPgoWFhZk4EnQktbW1GjFihKKjo7V27Vr+bgA47wwdOlRXXXWVfv/735tdCgAAHdrFF18sm82m559/3uxSAKDDq62tldvtNjqP+a8LCwvV3NyswMBApaWlyWazyel0ym63G53IYmJizC4fAACgw2pqalJubq527NjR5lJTU6PAwED1799fQ4YMadN1LCEhweyyAQDASSAkBgAAAAAAupzq6up2A2CFhYUqLy9Xa2urJCkmJkYZGRlKT09XRkaGMjIyjDCYxWJRt27dTB4JOoOWlhZdeeWV8ng82rp1qxITE80uCQDOucsuu0wZGRl64YUXzC4FAIAOLSYmRo899pjuu+8+s0sBgE6rsbFR+fn5RoAsJydHeXl5crvdOnTokCQpNjbW6DjmcDjkdDpltVplsVjo/g4AAHACpaWlxwXHioqKJEnx8fEaNmyYhg8fblxYEwMAoOMhJAYAAAAAADqdo0ePthsA818OHz4sSQoNDZXFYjECYN8MhEVGRpo8EnQF9957r/76179qw4YNuuCCC8wuBwBMMXXqVLW2tmrlypVmlwIAQIdVVVWlxMRErV27VhMmTDC7HADocnw+n0pKSpSXl6fc3Fy5XC55PB7l5uZq7969kqSePXvKbrfLarUqKytLdrtdNptNVqtVoaGhJo8AAACg46mpqTECY1988YU+//xz5eXlqbW1VcnJyW1CY8OHD1efPn3MLhkAgPMaITEAAAAAANDh+Hw+VVZWnrAbWEVFhXFuXFxcuwGwjIwMpaSkKDAw0MSRoKtbvHix7r33Xq1cuVLXX3+92eUAgGnuvfdeuVwurV271uxSAADosD744ANdccUV8nq9io2NNbscADiv7N+/X263Wy6Xq811cXGxWltbFRwcrIyMDDkcDtntduPabrez0RQAAMA31NXVGYGx7du3a9u2bSooKJAkpaWlGYGxESNGaOjQoerdu7fJFQMAcP4gJAYAAAAAAExx6NChE3YDKyoq0tGjRyVJ3bt3V3p6+nEBMH8oLDw83OSR4Hy1du1aXXHFFXrsscf029/+1uxyAMBUjzzyiFavXq3du3ebXQoAAB3WU089pT/+8Y+qrKw0uxQAwP85cuSIPB6P0XHM7XbL4/HI7XaroaFBkpScnGx0HMvKypLNZpPdbldycrLJ1QMAAHQcBw8e1Pbt2/X5559r27Zt2r59u0pKShQQEKD+/ftr1KhRGjNmjEaNGqXBgwcrODjY7JIBAOiSCIkBAAAAAICzpry8XPn5+W0CYP4QWHV1tXFeYmJiuwGwjIwMJSUlKSAgwMRRAMcrKCjQ8OHD9YMf/EDLli3j7yiA896zzz6r+fPnt/n/OwAAaGvmzJkqLi7Whx9+aHYpAIDv0NLSoqKiojbhMX8HsoMHD0qSIiMjZbPZ5HA42nQgy8jI4EvPAAAAkrxerxEY27JlizZt2qQDBw6oZ8+eGjZsmMaMGWMExxISEswuFwCALoGQGAAAAAAA+F78QbD8/HwVFBS0uRw+fFiSFBYWdlz469hL9+7dTR4FcPJqa2s1fPhwxcTE6OOPP1aPHj3MLgkATLdy5UrddNNNamxsVFBQkNnlAADQIfl3TX/mmWfMLgUA8D1UV1fL5XLJ7XYrNzfX6DxWWloqSQoNDVVmZqbsdrvsdrucTqfRfaxnz54mVw8AAGAen8+n/Px8bdq0SZs3b9amTZuUnZ2tlpYWZWRkaPTo0Ro9erTGjBmjwYMHKyQkxOySAQDodAiJAQBKru/8AAAgAElEQVQAAACA71ReXq6CggLl5eWdMAgWHh6u/v37y2q1qn///sYlMzOTnd/QZbS0tOiKK65QXl6ePv/8c/5uA8D/+fTTT3XxxRerqqpK8fHxZpcDAECH09raql69eum//uu/9LOf/czscgAAZ0FdXZ3y8vLkcrmM8JjL5VJBQYGampoUEBAgi8Uiq9Uqp9Mph8Mhq9WqrKwsxcbGml0+AACAKerq6rRt2zZt3LhRmzdv1pYtW7R371716NFDw4cP15gxYzR27FiNHTtWUVFRZpcLAECHR0gMAAAAAABI+ncQrL0w2DeDYN8MgxEEw/ninnvu0csvv6zPPvtMQ4YMMbscAOgwPB6P7Ha7duzYocGDB5tdDgAAHU5hYaH69eunzZs3a9SoUWaXAwA4h5qamlRYWKjc3Fy53W653W6jE1ldXZ0kKSYmRna7XQ6Ho811WlqaAgMDTR4BAADAuZWXl6etW7dq06ZN2rBhg7KzsyVJAwYM0Pjx43XRRRdp3LhxbFgGAEA7CIkBAAAAAHAeOTYIlp+fr/z8/G8NgmVmZiozM5MgGCDpueee03333adVq1bpuuuuM7scAOhQDh48qOjoaL3//vu6/PLLzS4HAIAO5+2339a1116r2tpaRUREmF0OAKCD2LNnj9FxzOVyyePxKDc3V1VVVZKkHj16yGq1ym63y+l0ym63y2azyW63q1u3biZXDwAAcG4cPHhQn332mdatW6f169dr27Ztam5ult1u17hx4zRu3DhddNFFslgsZpcKAIDpCIkBAAAAANDFHBsE+2YYrL0g2LFdwQiCAe376KOPdOWVV2r+/Pn69a9/bXY5ANAhde/eXUuXLtWMGTPMLgUAgA7n8ccf10svvaTCwkKzSwEAdAI1NTXyeDzKycmR2+02wmNFRUVqaWlRUFCQ0tLS2oTH/B3IoqKizC4fAADgrDp06JA2btyo9evX69NPP9Xnn3+uI0eOyGKx6KKLLjIuVqvV7FIBADjnCIkBAAAAANAJVVRUtOkCVlBQoLy8vG8NgvnDYATBgFOTn5+vESNG6Ac/+IGWLVumgIAAs0sCgA4pNTVV999/vx588EGzSwEAwHQNDQ1tOrz86Ec/Un19vd5++20TqwIAdHYNDQ3Kz883Oo+53W7jcuTIEUlSfHy8HA6HERrzB8hSU1NNrh4AAODsaGho0Oeff65169Zp3bp12rhxo+rq6pSamqpLL71Ul112mS699FLFx8ebXSoAAGcdITEAAAAAADqohoYGeTweeTwe5eXlGTvGejweffXVV5LaD4JlZmbKarUSBANOwcGDB1VQUKARI0a0OV5TU6MRI0YoJiZGn3zyibp3725ShQDQ8Y0YMUITJkzQk08+aXYpAACYauHChZo9e7bS0tI0dOhQDRo0SK+88oouu+wyPffccwoKCjK7RABAF9Pa2qrS0lK53W7l5OQoLy9PLpdLubm52r9/vyQpIiJCVqtVDodDTqdTVqtVTqdT/fv3V0hIiMkjAAAAOHOam5u1bds2ffjhh/roo4+0ceNGNTU1acCAAUZobPz48QoPDze7VAAAzjhCYgAAAAAAmKyystIIgPkX7/Py8lRcXKzW1lYFBQUpLS1NNptNDodDVqtVVqtVdrudIBhwhkycOFH/+Mc/9NBDD+mJJ55QYGCgmpqadNVVVykvL0/btm1jd0EA+A7XXHON4uLi9Je//MXsUgAAMNWf/vQn3XfffZKkwMBAhYSEqLGxUT6fT6GhocrMzFRWVpamTp2qKVOmmFwtAKCr27dvn9F5zOPxKDc3V263WyUlJfL5fAoJCVF6erqysrKMrmP+DmQRERFmlw8AAPC9HT58WOvXr9eHH36oDz/8ULt27VJgYKBGjx5tdBkbPXq0goODzS4VAIDvjZAYAAAAAADnQENDg/Ly8oxOYB6PR263W3l5eaqtrZUkRUZGymazyW63y2azGZfMzEx169bN5BEAXVdjY6Pi4uJUW1urwMBATZw4UStWrNBDDz2kl19+WRs3btTgwYPNLhMAOrzbbrtNlZWVeu+998wuBQAAU3388ce65JJLvvO8sLAwHTp06BxUBADA8Q4fPmx8Tp2bmyuPx2NsYNbY2ChJSklJMUJjDodDNptNTqeTzcsAAECntnfvXn388cdGaKyoqEjh4eGaMGGCrr76al199dVKTU01u0wAAE4LITEAAAAAAM6gqqoqoyuYf4Hd4/GopKRELS0tCgoKksViadMVzB8MY2EdMMebb76pKVOmyP8xWXBwsPr27auSkhKtXr1aP/zhD02uEAA6h4cfflgfffSRtm3bZnYpAACYyuv1nlQn4pUrV9JJDADQ4bS0tKioqEi5ublGaCwnJ0dut9vY8Kx3796y2WzKysoyPt92Op1KT09XUFCQySMAAAA4NYWFhfrwww/1/vvv65///Kfq6+s1cOBAXXPNNZo4caIuvPBC3uMAADoNQmIAAAAAAJyihoYG5efnH9cVzOPxtOkKZrVaZbfbZbfbjTCY1WqlKxjQwVxzzTV6//331dzcbBwLCQlRWFiY/v73v+v//b//Z2J1ANB5PPXUU3r66ae1Z88es0sBAMB0UVFRqqmpafe+4OBgDRs2TJs3bz7HVQEA8P1UVVUpNzdXbrdbbrdbLpdLLpdL5eXlkqRu3bopMzNTDofD6EDm/4y8R48eJlcPAADw3RobG7V+/Xq9++67euedd5Sfn6/o6GhdfvnlmjRpkq644grFxsaaXSYAACdESAwAAAAAgBOorq42dko9NghWXFyslpYWBQYGKi0tTVarVQ6HwwiB2e12JSYmml0+gJPg9XqVlJSklpaW4+4LCgpSYGCgXnrpJc2YMcOE6gCgc1m2bJluv/12HT161OxSAAAw3YUXXqiNGze2e19AQIA2b96skSNHnuOqAAA4O+rq6uR2u5Wbm2t8lp6Tk6PCwkI1NzcrMDBQqampstvtysrKMj5TdzqdiomJMbt8AACAEyooKNA777yj9957T5988olaWlo0cuRIXXPNNbrmmms0ZMgQs0sEAKANQmIAAAAAgPNaa2uriouLlZOTo9zcXLlcLiMM5t/xu1evXrLZbLLZbLLb7UYYzGaz0RUM6OSeeuopPfzww226iLXnpz/9qf785z+fo6oAoHP64IMPdMUVV+jgwYPq3bu32eUAAGCqe+65Ry+++KKampraHA8JCdG1116r119/3aTKAAA4d5qamlRQUGCEx/ydxzwej+rr6yVJMTExcjqdxkZsTqdTdrtdFotFAQEBJo8AAADg3+rr6/Xhhx/q3Xff1Xvvvafy8nJlZGRoypQpuv766zVq1CjevwAATEdIDAAAAABwXvCHwbKzs+VyudqEwg4fPixJSk1NNRagj+0KlpSUZHL1AM4Wp9Mpt9utk/mIzN9BEADQvh07duiCCy6Qx+OR1Wo1uxwAAEz13HPP6f777283JJaXl6e0tDRzCgMAoIMoLS2V2+02Nm7zdyLzer2SpB49eshut8tut8vpdMpms8nhcMhqtSo0NPSs1vaTn/xEF198sW699VY+DwQAAO3y+Xz64osvtGrVKq1evVoej0cpKSm67rrrNGXKFI0dO1ZBQUFmlwkAOA8REgMAAAAAdCmtra0qKipSTk6OXC6XEQrLzc3VkSNHJEkWi0UOh0NZWVlyOp3GdUREhMnVAziX/vWvf2no0KEnvD8kJEQtLS36xS9+oUcffVS9evU6h9UBQOdTWVmppKQkrVu3TuPGjTO7HAAATPXJJ59owoQJbY4FBwfrgQce0JNPPmlSVQAAdHwHDx40PtPPy8szNnsrKSlRS0uLgoKClJ6e3mbDt6ysLNntdkVGRn7v379v3z7FxsZKkjIzM7VgwQJNnjz5ez8vAADo2rKzs7Vy5UqtWrVK2dnZiouL07XXXqspU6ZowoQJCgkJMbtEAMB5gpAYAAAAAKBTam1tVWFhoXJzc42uYP7FYn8YLC0tTXa7XQMHDpTdbteAAQPkcDgIgwGQJM2aNUtLliw5bmf/wMBA+Xw+XXjhhVqyZImysrJMqhAAOpempiaFhoZq1apVuv76680uBwAAU+3du1dxcXFtjkVGRqq4uFi9e/c2qSoAADqvhoYGo+OYx+NRbm6ucfvo0aOSpISEBCM8Zrfb5XA4ZLfblZKSctK/Z/369broooskSUFBQWppadHo0aP11FNPacyYMWdlbAAAoGvxeDxavXq1Vq1ape3btysqKkqTJ0/WTTfdpCuuuIIOYwCAs4qQGAAAAACgQ2tpaTE6g/mDYDk5OXK73Tpy5IgCAgKMzmADBgxoEwojDAbgRBobGxUfH6+ampo2x4ODg9W7d28tWrRI06ZNU0BAgEkVAkDnFBsbq/nz5+uuu+4yuxQAAEwXFRVlzDmCgoL01FNPadasWSZXBQBA19La2qri4mK5XC4jRJabmyuPx6P9+/dLkiIiImS32+V0OmWz2WS325WVlaX09PTjunosXbpUd999t1paWoxjwcHBam5u1qRJk/SHP/xBTqfznI4RAAB0XsXFxVq9erVWrlypzZs3KyEhQdOmTdOMGTN0wQUXmF0eAKALIiQGAAAAAOgQ/GGw7OxsuVwuIxT2zTCY0+lUVlZWm1AYYTAAp+rNN9/UlClT5P9oLCQkRK2trbr//vv16KOPKjw83OQKAaBzcjgcmj59uubNm2d2KQAAmO7CCy/Uxo0bFRgYKIvFIo/Hc9wX0QEAwNmzd+9e5eTkyOPxtAmPlZaWyufzKSQkRP379zfCYw6HQ5988omWLVumxsbG454vJCRELS0tuuWWWzR//nwlJyebMCoAANBZffnll3rttdf0yiuv6Msvv9TAgQN188036+abbz6lzqcAAHwbQmIAAAAAgHPKHwbbvXu33G63ce1yuXT06FEjDJaVlWUEwpxOpxwOB6ENAGfMpEmT9N5778nn88nn82ns2LFasmQJuwADwPc0duxYDR8+XM8884zZpQAAYLp7771Xixcvls/n06pVq3T99debXRIAAJB06NAho+uYvwOZy+VSQUGBMjIy5Ha7v/XxISEhCggI0AMPPKBf/epX6t279zmqHAAAdBWbNm3Sq6++qhUrVqimpkaXXHKJbr75Zt1www18LwIA8L0QEgMAAAAAnDUVFRXatWuXdu3apZ07d8rlcik3N1cNDQ0KCAhQWlpamyCY/9KzZ0+zSwfQhVVXVyshIUGSFBcXp0WLFummm24yuSoA6BquvfZaRUREaNmyZWaXAgCA6Z577jnde++9GjNmjDZu3Gh2OQAA4Ds0NzcrNTVVlZWVJ3V+cHCwwsLCNG/ePN1zzz3q0aPHWa4QAAB0NQ0NDfrHP/6hV155Re+++64CAwN1/fXXa+bMmRo/frwCAgLMLhEA0MkQEgMAAAAAfG9Hjx5Vbm6udu7cqd27dxuhsH379kmS+vbtq4EDB2rgwIFyOBzKysqSw+H41jDY1q1bNWrUqHM1BAAA0AH89re/1e9+9zuzy8D3cNttt6miokL/+Mc/zC4F6LDmzJmjxx9/3OwyAADAKdiyZYtGjhxpdhk4Tbz/AgAAgNlOZv3jwIEDeuONN/TXv/5VmzdvltVq1cyZM3XLLbcoLi7uHFUKAOjsgs0uAAAAAADQuZSVlbXpDrZr1y7l5eWpublZPXr0UFZWlgYPHqzJkydr0KBBGjRokKKjo0/59xQUFEiSXn/99TM9BACdxNSpUzVr1iyNHTv2jD6vz+dTY2OjunXrdkaf1ywbNmzQokWL+PcSnd7NN9+soqIis8vA9xQdHa3s7GyzywA6tKKiIoWEhOi1114zuxQA50BNTY169+5tdhkdBvOXk7do0SJJ0qxZs0yuBFOnTlVBQQEhsU6M9184WUVFRXr44YfbvS8gIEBBQUFqaWmRz+dTSEiIkpKS1L9/f8XGxmr8+PGKiYk5xxUDwPnpbK0fdTXMvzqOk13/iI6O1p133qk777xTu3fv1gsvvKDHH39cc+bM0bXXXqvbb79dl156Kd3FAADfipAYAAAAAKBdR48eVXZ2thEI84fCDhw4IElKTU3VoEGDdO2112rw4MEaNGiQMjMzFRQUdEbruPHGG8/o8wHoXEaNGsW/A9+hqalJEv9eovP73//9X7NLwBkQExNjvF8EcGI33ngj/+8GcF5i/nLy/O+Pea2AM4P3XzgZy5cvlyQFB3/9lbrm5mZJUlJSkoYOHarBgwcbl379+p3x9RAAwMlj/ei7Mf/qOE5n/WPgwIH67//+bz355JN6/fXXtXTpUl1++eXq16+fZs6cqVtvvVUJCQlnoVoAQGdHSAwAAAAAoNLSUu3evVu7du3Sjh07tHv3buXl5amlpUVhYWHKysrSkCFDdN1112nQoEEaPHgwu2ADAADgOH369NH+/fvNLgMAAAAAgFOWmZkpSfrpT39qbI43cOBA1kMAAIBpevTooVtuuUW33HKLcnNztXTpUv3xj3/UvHnzNGnSJN1xxx26/PLLFRgYaHapAIAOgpAYAAAAAJxHWltb5fF4tH37dn3xxRf617/+pZ07d+rgwYOSpLS0NA0aNEjXX389u2ECAADglEVHR6umpkbNzc3GzusAAAAAAHQGw4cPl8/nM7sMAACAdjmdTj399NN64okntGrVKr3wwguaOHGi0tLSdM899+i2225TdHS02WUCAEzGCi0AAAAAdFEtLS1yuVz64osvjFDYjh07VF9fr9DQUA0cOFBDhw7VDTfcwG6YAAAAOCNiYmIkSQcOHFBcXJzJ1QAAAAAAAAAA0LV0795dN998s26++Wa53W49//zz+t3vfqd58+bpRz/6ke677z4NGTLE7DIBACYhJAYAAAAAXUBzc7NycnLaBMJ27typw4cPq3v37ho0aJCGDh2qn/zkJxo2bJgGDBig0NBQs8sGAABAF9OnTx9JhMQAAAAAAAAAADjb7Ha7nn76ac2fP1/Lli3Tc889p5deekkXXnih7rvvPk2ZMkUhISFmlwkAOIcIiQEAAABAJ9PU1KTdu3friy++MEJhu3bt0tGjRxUWFqZBgwZp2LBhmjlzpoYNGyan08mHfgAAADgnoqOjJX0dEgMAAAAAAAAAAGdfeHi47r77bt199936+OOP9eyzz2rGjBl68MEHdccdd+jOO+9UYmKi2WUCAM6BQLMLAAAAAACcWGNjo7Zt26bnn39ed955p0aMGKHw8HANGzZMDzzwgHbt2qVRo0ZpyZIl2r17t2pra7Vp0yY9++yzuu222zR48GACYgDOe3PnztXcuXPNLqNDCQgIaHNpj9fr1cKFC89xZefWwoULVVtbe8ae73x/zU7m7xW6vvDwcElSTU2NyZUAAICujrnetzsf5icn40zP+wAAANB1MKf4dswpvtYZ5xQTJkzQqlWrVFRUpJ/+9Kd67rnnZLFYNH36dH322WdmlwcAOMsIiQEAAABAB9HY2KitW7fqueee08yZMzV06FCFh4drxIgReuihh+R2uzV27Fi99NJLysnJUU1NjTZs2KBFixbplltu0YABAxQcTMNoAOhoamtrO2xgxufzyefzHXfc6/XqkUce0aRJk4xjK1as0OTJkxUQEKC7775bXq/3e//+pUuXnvZr4/V6NXfuXCOQtGLFiuPOKS0t1d13323UvHbt2jb3X3bZZZoxY8YZGQuv2Yn/PuH80qtXL0lSfX29yZUAAACcXR15rtcZ5iffNffwW7NmjVH35MmT253H+M+ZPHmy1qxZ0+a+MznvAwAAAM4k5hTMKc62lJQUPf7449qzZ49eeuklFRYWauzYsRo+fLiWL1+upqYms0sEAJwFhMQAAAAAwAQ+n095eXl69dVXNWvWLI0ePVq9evXSqFGj9Jvf/EaFhYW65JJL9PLLL8vtduvgwYP69NNP9fTTT+vHP/6xnE6ngoKCzB4GAHQK8+fP1/z58037/evWrTPtd5+O2tpazZw5U7fccousVqukrxfp4uLi9Pbbb8vn82n8+PGaOXOmdu7cedq/Z+fOnbrjjjtO67Fer1eFhYWaP3++fD6fli9frunTp7fZ0bK2tlY7d+7U4sWLVVNTo/Hjx+vSSy9ts7g3ePBg/eY3v9HMmTO/1y6QvGZAW7169VJdXZ3ZZQAAgC6OuV77OsP85GTmHtLXO/ZPnjzZmMfMnz//uHnMihUrtHTpUi1btkzLli3T3//+dy1dutS4nzkMAAAAToQ5RfuYU3S9OUW3bt00Y8YMbdmyRVu2bFFmZqZ+8pOfqF+/flqwYIG++uors0sEAJxBhMQAAAAA4Bzwer165513NG/ePF111VWKiYmRzWbTzJkztXXrVo0cOVIvvviiPB6PDh48qLVr12rBggWaPn26bDabAgOZvgFAZ1RbW9tmIakzePHFFzV48GCNHj3aOHbHHXe02SFx2rRpWrNmjebOnXtav6O2tlYrV6487RoLCwvb1Ddt2jRJ0uzZs41j69atM3a4jIyMNM6ZPHlym+caPXq0kpOT9eKLL552PbxmQFvh4eF0EgMAAF1aR57rdYb5ycnOPfzzlcGDB7e5/vTTTyV93Tlg+vTp+s1vfqPIyEhFRkbqrrvu0h133NHmy6rMYQAAANDRMKdgTmGWkSNHavny5SooKNDUqVM1f/58paSk6IEHHlBJSYnZ5QEAzgC+ZQgAAAAAZ9jhw4e1YcMGPfXUU5o2bZrS09MVHx+vyZMn6/XXX1dcXJz+8z//U1u2bNFXX32lzZs3a9GiRfrxj38sq9WqgIAAs4cAAF2G1+vVihUrjEWhb/68Zs0aBQQEaPLkySotLTXOWbNmjXHO0qVLFRAQoLvvvlt5eXnGcwcEBBiXEx1bsGCBsWvhscfnzp172gtnZ5PX69Xs2bM1YcKENsdfeOEF/e1vfzvu/OTk5NP6PS+++KJ+/vOfn9ZjJbVZmJRk7Nw4Z84c45h/cfCb7rrrruOO3XjjjZo9e3abBc6TxWt26q8Zur6IiAg6iQEAgLOKuV77Osv85GTnHgsWLJAkbd68WZKMP0t/t4eNGzdKkpKSkozHJCYmSpK2bt3a5rmYwwAAAOBYzCnax5zi/JlTWCwWLViwQHv27NG8efP05ptvqn///rrpppuOGzsAoHMhJAYAAAAA30NLS4uys7P15z//WXfddZcuuOACRUZGaty4cXryySd1+PBh/exnP9M///lPHThwQG63W6+88oruu+8+jRw5UqGhoWYPAQC6tJkzZ2r69OnGQtuxP2/evFmTJk1SSUmJ1qxZoyeeeEKSjGCv/5zbb79dNTU1kiSbzWYs9FVXVx/3+765w55/kUmSfD6ffD7fWRnnmbJlyxZJUv/+/dscv/322/X2228bP/tfg/bCQ99l7dq1uvDCCxUXF/c9Kv230tJSY5FvxowZJzzPH4q6+uqrj7vPP17/+E8Fr9mpv2bo+ugkBgAAzjbmeu3rjPMT6cRzj1/+8peaM2eOxowZo82bN2vjxo2qrq4+bvf/1NRU4zH+uvx/N/yYwwAAAOBYzCnax5zi/JtT9OrVS7Nnz1ZBQYGWLVumL7/8UqNGjdJFF12k1atXq7W11ewSAQCniJAYAAAAAJyCsrIyrV69Wg8//LAmTJigqKgoDRw4ULNmzVJubq4uvfRSvfbaayouLlZVVZXefvttzZkzR1dccYV69+5tdvkAcN45dsHqmz/7Oyv5F36WLFkiSW0W4vznREZGGgtd/kWh9havjl1E+jbz589vswDYUfh3BvyucSxbtkw7duwwFtFOltfr1ZdffnlcV6vTVVpaKovFot/97neSjl+wO9b27ds1adIkXXTRRcfdFxkZKUltdvo8Wbxmp/6aoesLDw/XV199ZXYZAACgC2Ou177ONj/x+7a5x/z583XXXXdpzJgxysnJUbdu3Yz7/H+27fnmXIc5DAAAAI7FnKJ9zCn+7XybUwQHB2vatGnatm2b1q1bp6ioKN14442y2Wx6/vnn1dDQYHaJAICTREgMAAAAAE7g0KFD+uSTT/TEE0/ouuuuU3Jysvr27aupU6fqvffeU79+/bRw4ULt2LFDNTU1WrdunRYsWKCpU6fKYrGYXT4A4AzzL3TNnj3b5ErOHn9w6NusXbtWN9xwwykv/EnSW2+9pdtvv/10SmtXamqqfD6fduzYoTlz5mj27NlaunRpu+c+88wz+s1vfmMs4h3Lf+x0/mx5zbrufw84fREREaqrqzO7DAAAgJPSleZ6nW1+4vdtc4+FCxdq/PjxRoeGGTNmGF0CTgVzGAAAAJwtzClOHnOKzmHcuHF666235HK5dOmll+oXv/iFMjIy9NRTT6m+vt7s8gAA34GQGAAAAAD8n9LSUi1fvlyzZs3S8OHD1bt3b02YMEGLFy9WUFCQ7r//fn3yySeqqanRrl279OKLL+r222/X4MGDFRwcbHb5AACcE2FhYae18LdmzRpdeeWVZ6GirxdgZ8yYIUm64447jrt/xYoVmjRp0hnfmfJk8ZrhfNOrVy9CYgAAAB1UR5uffNvcY8WKFZo9e7YmTpyoyMhIzZgxQ2vWrNHrr78uSZo0adIJn9ffzQEAAADAmcWc4vxhtVq1ZMkSFRUVafr06Xr00UdlsVj02GOP6cCBA2aXBwA4AUJiAAAAAM5LTU1N2rJli5555hlNnTpVKSkpslgsuuWWW7R161aNGzdOf/vb31RWVqbS0lKtXLlS//Ef/6Hx48crPDzc7PIBACY6nxeFVqxYcdqhocmTJ8tisSggIMC4+B17+3RZrdZ2j+/cuVM5OTlnZWfKk8FrhvNRREQEu4kCAIBO53yY63W0+cl3zT2mT58u6d879sfHx0v690YX/i90er1e4zGlpaWSpKFDh55WTQAAAMDpYk7x7ZhTdF6JiYlasGCBiouLNWvWLC1atEgWi0WzZ89WRUWF2eUBAL6BkAg8dIQAACAASURBVBgAAACA88LevXv19ttv61e/+pUuuugiRUZGavTo0fr973+vhoYG/fznP9e6detUW1urzZs36+mnn9aNN96o5ORks0sHAHQQeXl5kqSrr77a5ErOngULFkiSamtr271/2rRpp/3cPp/vuMux931f/pqXL19uHPN6vfrwww81f/5849jOnTt19913t/scc+bMOeXfy2t26q8Zur6IiAgdPXrU7DIAAABOSlea63Wm+cnJzD2+uau//4ud/uP+LgSFhYXGOf4vKJ6oQwFzGAAAAJxpzClODnOKzi86OlqPPPKISkpK9Nhjj2n58uXKyMjQXXfd1eY1BACYi5AYAAAAgC6ntbVV2dnZeuGFF3TrrbfKZrMpLi5O1113nd599105HA4tXrxYHo9HXq9Xb731lh5++GGNGzdOPXr0MLt8AMAZdOzOf16vt83P/gWuYxe6jr1f+npHRP85y5Yt06RJk9osKPl3hfQvAG7evNm4z78IdewuhAsXLpQkzZ07V3Pnzv2eozvz/J2lTrT4d6K6Fy5cqICAAO3cufN713AyzzV58mQtXLjQ2M2xtrZWCxYs0Jw5c4wFSq/Xq5kzZ2r27NltdqUcMmTIcQu1/ucZOXLkKY+J12ykgG8KDg7WV199ZXYZAACgC2Ou177OMj852bnH/fffL+nff17+Pwf/8dTUVL3wwgt6+eWXVVtbq9raWr388st64YUXlJqa2uZ3MocBAADAsZhTtI85BXOKkxEeHq4HH3xQhYWFWrRokf4/e3ceH0V9/3H8vZxK9RcOAQFFrdyHeCBg5Bbl3AgoFBKDRwETVGohWkuTKuVotUEoHmAAlWJIFETIAgEhQc5EEJsYwIKIDfUg4UoQa0HC/P6guyYhyR7ZZPZ4PR+PPCCzszPvOXbz/ex3vzObN29W27ZtFRERoX379pkdDwCCHoPEAAAAAPi9wsJCbdiwQS+88IIGDx6shg0bqnPnzoqJidE333yjMWPGKDU1VadOnVJOTo7eeOMNPfzww44POAEAgatp06Yl/l/89/r165f4t/T8ktS+fXuFhYWpfv36atmypZYtW1bi8d///veyWq1q27atbDabevToIavVqqSkJE2fPl2SHFcwfOWVVxQZGendDfSy7t27S/r5KomuKigoUFRUlFc6Ll1Z1oQJExQTE6MbbrhBFotFixcv1tChQ0tcLfL555+XzWYr8/lt27Yt8bt9e+3b72qO4s9hnwEAAADVh1qvbP5Sn7hae/Tv319paWnaunWrLBaLli5dqrS0NPXv398xz4QJEzRkyBDVr19fkZGRGjVqlCZMmHDZcqlhAAAAUBw1RdmoKagp3FG3bl1NnDhRBw8e1NKlS5WTk6MuXbpo9OjRDBYDABNZDE/u0QkAAAAAJvriiy+0a9cux8+BAwd08eJF/fKXv1RoaKjuuusu3X333erUqZNq1qxpdlx4aPny5YqIiBBlKxC8LBaLEhMTFR4ebsq6JfnFe5An75cVbZ/9apVTp051O0tYWJhSUlLcfl5VL8uZuLg41a9fv8xtdiUH+6wkT18/ERERkqTExMTKB4SpZs2apXfffVefffaZ2VEAn8T7HYBgZvbnPf5U63n69yIY6xNXVFTDOGPm5xPwDtpfAAAEFvqPXONp/UVNUbbK1BTB0h41DEOrV6/WCy+8oH379mnUqFH64x//qA4dOpgdDQCCCncSAwAAAODTioqKlJWVpVdeeUWjR49Ws2bN1KZNGz3++OPat2+fBg4cqJUrV+q7777Tl19+qWXLlmnSpEnq0qULA8QAAPDA+PHjtXXrVmVmZrr1vMzMTE2bNs0rGby5LGeys7OVnZ2t8ePHe5yDfQaUVLNmTZ05c8bsGAAAAEEp2OoTV1DDAAAAAK6jprgcNYVrLBaLRowYoaysLL333ns6cOCAOnfurPDwcP3zn/80Ox4ABA0GiQEAAADwKefOndP27ds1e/ZsDRkyRI0aNdJtt92mF154Qf/97381ZcoU7dy5U4WFhdq5c6fi4+M1YsQIXXvttWZHByolPz9fycnJCgsL88p8VZnBn/jjNvnCueAKf8npifz8/DL/HyxCQkK0ePFizZ49W9nZ2S49Jz09XQ0bNlSPHj0qvX5vLsuZQ4cOaeHChVq8eLFCQkI8zsE+Ay7nD1fSBRA4/LHNWVzp/M5+d3U5VZnRn/hzdnhXsNR6wVSfuIIaBqga/v73lfYXKuILx98fsP2cJ8GImqJ81BQozmKx6IEHHlBWVpaSk5OVk5Ojjh076qGHHtLBgwfNjgcAgc8AAAAAABMVFhYa69evN6ZNm2b06tXLqFu3riHJaNGihTF27FjjtddeM3JycoyioiKzo6KaJSYmGu6WrQUFBW4/x1dERUUZkpzmd3U+T1itVpeWnZub68gRFRVlpKWleT2Lt3i6v1JSUgyr1WpYrVYjJSWlitKVzYxzwb4sT55TlTklGYmJiW4/r7LseavqteZtnrxfurKNBQUFRnx8vDci+qz4+HgjLy/Pa8sL9n1W2ddOeHi4ER4eXtmI8AF/+9vfjJYtW5odA/BZnrzf+XOtUx08aXMWFBQYGRkZRkJCgmG1WqswnXOl8zv73dXleJNZ9aI3ajNPz4/qes2VbkO5kjUjI+Oy/Vw6c3nLdfUnIyOjwvV72vbzpH7xFn+r9SrbPg6G+sQV3qj7zPp8At5D+8v7PPn7mpeXZ8TGxjqel5SUVIUJK0b7q3xmfjbuK3zh+FcnT2ujymy/K+1ZX1dd50lGRkaJ987Y2FgjKyvLyMvLM3V/OTtvKqo14uPjjZSUFKOgoMDj9dN/5JrK1l/UFJd4o6YI9v6PoqIiIykpyWjXrp1Rs2ZNIzIy0jh48KDZsQAgYFkMg8t5AgAAAKg+x44d0/bt27V9+3bt2LFDn332mYqKitS+fXv17NlTPXv2VK9evXTTTTeZHRUmW758uSIiIty6C4XNZlNYWJjf3rnCYrFIktP8rs5XFRkKCwu1bds2Wa1WFRYWKjU1VWPHjlVKSoqsVqvX83iDu/srOTlZy5cv17JlyyRJzz33nG6//XZNmDChyjKWVp3nwtGjR3XDDTdIkrKystSlSxeXn1vVOS0WixITExUeHu7W84KNJ++XgC+KiIiQJCUmJpqcBJW1YMECxcXF6cSJE2ZHAXySJ+93/l7rVAd325xxcXGSpJkzZ7r1vKpSOr+z311dTlVmLM3b9aI3azN390t1v+by8/PVtGlTSVJBQUGFVybPzMzUXXfdpaSkJI0ZM0aSlJ2drbi4ONlsthLnTPF57NOkkvshOTlZY8eOlWEYJerDqKgoLViwoMwM0dHRWrhwoSQpLy9PTZo0cXlbqV9cR/vYd/D5hP+j/VU13Pn7mp+fryNHjjjuCGL/+xMfH6+pU6dWac7y0P66nC98Nu4rfOH4V5fK1EaebL+r7Vl/UNXnif3ztd/+9rdq06aNpEvvpx9//LHjzmRm7S9Xzpvy6hz78ZakxYsXu1VP2NE+cw31l++gvrvk4sWLSkpK0owZM/Tll18qPDxcL7zwAt8PAgAvq2F2AAAAAACB7fDhw3r77bf12GOPqU2bNmrWrJnCw8OVkZGhPn36aMWKFcrPz9eBAweUkJCgcePG8QEQPFJYWKhFixaZHSPg2TucJSkkJMTRgWfvjPJ3R48e1dixYzVt2jSFhIQoJCREUVFRmjhxorKzs82OVyVWrFihlJQUSdLu3btNTgMACBQXLlwwOwIQMKh1qsaMGTM0Y8YMs2MEFG/Wi2bWZma85op/KbKiAWKStHTpUkkqMfirS5cuZZ7Pxecpz+DBgx3/b9mypSQpPj5eCxcu1NGjRy+b/+jRo2rVqlWZ2QEgUND+8r7iA8Skn/9GxcTEmBUpIARK+wvmqu7ayJ32bDCLi4tTdna2FixY4BggJl1qf1utVmVkZJiYzrXzprw6p0uXLlq8eLEkafz48SosLKyakAB8To0aNRQREaH9+/frzTffVEZGhtq1a6fJkycrPz/f7HgAEDAYJAYAAADAa4qKipSdna1XXnlFv/rVr9S8eXO1bt1akyZN0pEjRzRmzBht3LhRp06d0p49ezR37lyNGDFCjRs3Njs6AkB8fLxsNpukS1ePs1+VT5LmzJkji8WiRYsWKT8/3/FYfn6+kpOTHR2mNptNFotFYWFhJb4IZf9SgH25cXFxl31IWd46PJGfn+9YXnR0dJlfyiqtsLBQycnJjoz2HK7MV5H09HTHvBaLpdyrj0ZFRbm2ccW4uv893b6wsDAdOnSo3HXb93FYWJjS09MlSbt27ZIkNW/e3DFvs2bNJHk2gMqVc8fVzK7MFxcX57j6oqv5CgoKHMd14sSJFc7rrZwAgMBWt25dsyMAAcXfax1fbPdXBVdqLW/kCZZ60du1WVnKO7fLes2Vdx4XPwb2fVf6uLhbpznzzTffSNJlX9YufVfo3Nxcl5YXEhJy2bwDBgyQ9PNxKG7Xrl2OxwEgUNH+8n77q/gAMfvyJCk2NtatbXOW3dU87qD95Xn7y9m5XN7xyc/Pd9zNT5LjNRMdHX3ZuVfRa6r4cgoLCxUdHe1ol7nyWiyd0dXj7+y8c+W4OzuHnL3OMzMzS5wrZb2PWSwWl7anrEyV6aNwtT1bfFuD7TzJzMzUzJkzNW3atHKfX/p91Z7X186b8jRp0kRPP/20bDabtm3bVunlAfAvNWvWVGRkpA4cOKD58+dr5cqVuvnmm/XCCy/o7NmzZscDAP9nAAAAAICHfvrpJ2PXrl3G7NmzjSFDhhghISGGJKNBgwbGsGHDjBdffNHYuXOncf78ebOjwg8lJiYa7patki57Tnx8vJGbm2sYhmEUFBQYsbGxjnmsVqvjORkZGYZhGEZubq4hyYiKinIsIyoqypBk5OXllfl4RevwJL89S15eniNjXl5ehdtptVqNhISEEs+zWq1GQUHBZfPFxsaW2Lbiv5dedm5urpGQkFBi/cUVFBQYkoyUlBS3t9fV/e/u9kVFRTmmJyUlXbZN9ucnJSUZhmEYaWlphiQjKyvLcaxLk2RYrVa3t9HZueNqZlfni42NLXE8nUlKSjKysrIMwzCMhIQEx34oizdzukqSkZiY6Pbzgo0n75eALwoPDzfCw8PNjgEvSExMNOrUqWN2DMBnefJ+58+1ji+2+4vztK1a1nZWVGs5y1M6R3m/B0u96O3arHR2Z+d26fmLn8f2Y5aRkeE4jys6t12t01w9F7OyshzzJiQkXHYcK7sO++PlHQP7tnn62qF+cR3tY9/B5xP+j/aXb7W/cnNzHdt18OBBt7atdCbaXyX5UvvL2blc0fGxb3fx/V9QUODIWPy8qeg1Vfq1YO8DcPY8+3Z7cvxdeR04O+72eSo6h1x5ndvXXVZbNDY21u3ayFt9FO60Z4P1PLG/Xsp7rZfHF8+bih63v2eV/tvkCtpnrqH+8h3UdxX74YcfjNmzZxv169c3rrnmGmPevHnGuXPnzI4FAH6Lv/4AAAAAXFZ8UNjAgQONq666ypBkNG/e3BgzZozx6quvGp999plRVFRkdlQEAG8NEivdiZKXl1dhx29Z02JjY8vs9HF1HZXJf/DgQUdHWXnz2Ttsimewf1nN3sFkGD932JWer3gHb/FlZ2VllXh+WdLS0srs3HaVK/vf1e1LSUm5rOPP3sFUfHn2/VB6nfZOt/I6wj05ps7OHVczuzqfO+ydpXb2TtXi55rZOenkcw2dfAgUdJIGDt6XgIp560vK/l7rmNnud5bNXa7UWs7ylLXvnR3PQK4XvV2buXtuu3LOujPNk4wVOXjwoOMLq/Zj6cp+dmUd9sft5479y6OGcem4p6WluZ23ONoJrqN97Dv4fML/0f4qe5oZ7S/7YAT7T3x8vNvbVnxdtL9K8rX2V0XnsrvHxzB+/gy7+HnjymtK0mX7xNXnFefK8Xe2Xa4cd1fPIVffc0pvv33QXmkVHWtvf/bvans2WM8TT/arL5433ni8oufRPnOO+st3UN+55uTJk0ZMTIxx5ZVXGjfeeKPx97//ne8fAYAHLIZhGAIAAACAMly4cEF79uzRRx99pI8++ki7du3S2bNn1bx5c/Xr1099+vRRnz591KZNG7OjIgAtX75cERERcqdstVgsklTiOdHR0Vq4cKGSkpI0ePBghYSEOH1OWdMk6ejRo1qxYoViYmJKPO5sHZXJX9b00r/b11/8eYWFhapfv76sVqtSUlIkSWFhYbLZbBXuU/uyMzIytHTpUi1YsKDCzGFhYZo2bZp69Ojh8nZWtG1lTXN1+8qar6zl2fdDRZwtw13Ozh1n63N1Pnekp6dLkvr3719iecX3qZ1ZOS0WiyZPnqyePXu69bxgs2PHDs2fP1/vvfee2VGASpk/f75atmypxMREs6OgkjxpxwHBJCIiQpLcer8LxFrHzHa/K/vEHa7UWs7yOKv7gq1edHV7PV2et14/7rzO3M3oiszMTC1dulQLFy6UJKWkpMhqtVZqHRaLpcT5FBUV5TjWcXFxmjFjhsd5pZ/bCdQvzs2fP1+SNHnyZJOTYPTo0UpMTFR4eLjZUeAh2l9lTzOr/SVJ2dnZWrlypWbOnKmEhARNmDDBre2j/VX+NvtK+8vZuezu8XGWp7zXlLP87j7P2fF3tl2uHHdXzyFXXufZ2dm69dZblZSUpDFjxki61DfQqFEjdenSpcJtc5bJ2XNc4aw9G6zniSf71RfPG288Xh76j1xD/5HvoP/DPf/+9781ffp0LV26VO3bt9ef//xnDR061OxYAOA/DAAAAAD4n/PnzzvuFHbfffcZv/jFLwzp0p3CIiIijEWLFpW4QhxQlbx1J7GDBw8aVqvV8VjpK5OW9ZyypiUkJBhWq9VxBcDijztbR2XylzXd2e/uzlfWc+xXMSx+xfDSkpKSyrzrlDtc2f+V3T539oP9OJa1jOJXi3RHReeOt7fNHcXP2dI/pd/rzcpZXj5++OEncH+4kmZg4Aq1QMW8dScLf691Sk8ra56qmM+VbO5yZRnO5nGW39Pt9ub+ss9THfWit2szd89tV18/rk7zJKM77HefkGSkpKRUah3FH7cf69zcXCMvL8/pHQhcYW8n8MOPv/1wpwr/Rvur7GllzVMV85WnrO13lSvPczaPs/yebrc395d9Hn9sf3nyenHlcXdfUxWtpyo+u/d0u1yZx5V1lTXNarWWuFNZWXeDcpbNnePhifLas8F6ntjvsubOXQF98bxx9rj9bnTlLbsi9uXyw48//dD/4b79+/cbI0aMMCwWi9GrV68K20IAgJ/RSwsAAAAEsfPnzxs7d+6scFDYoUOHzI6JIOWtQWJ2WVlZjk6V4p2RZT2n9LTiX4qqaD3lraOy+aWSnbCl57N3nOXl5VX4PPt8WVlZLmWIjY0tc7mGcWlbPem0qWh95U1zdfsq2n/Fp9t/L2vQa0JCwmXrys3NNSR51MHu7NxxN7Oz+VyVkZFR4st9dllZWYakyx4zK6fEl7BcwWAMBApPvrQH38T7ElAxb31J2c5fax0z2/3OsrnLnVqrvDzO2tbBVi96uzZz99x25Zx1Z1plMtrZj5dU9pdF7funomW4kq344/ZlJiUlGUlJSY73CleXVRbaCa6jfew7+HzC/9H+KnuaWe0vZzldQfurJF9sfxXPVtHrxdXjU3x68f3o6WfwlfnsvqLj72y7XDnulXltljWt+CDD3Nzcci8qUNHr0dX3AVe4054N1vMkJSXF6XlSmi+eN84eT0tLMyQZaWlpFW5beculfeYc9ZfvoL6rnIyMDKNv376GxWIxxo4dW+LzCQDA5WoIAAAAQND46aeftHPnTv35z3/WwIED1aBBA91999169dVX1bhxY82bN0+HDh3SN998o3feeUfjx49X69atzY4NVIrFYlFhYaG6dOmiBQsWKCsrSzExMW4tY+zYsZKkli1bVtk6ypOdnS1J6tOnT7nzhIeHS5KOHDnimFZYWChJGjVqlGOa1WqVJC1cuNDx+NGjRxUdHV3mcmNiYmS1WvX888+XmJ6fn6/NmzdrxowZJXKWt5zKcnX7EhISHFkqYp9v2bJljuXk5+drzpw5Gjhw4GXr+vbbbyXJ8Zg7nJ077mZ2Np+rli5dqsGDB182vUuXLrJarVq+fLlP5AQAAED5/L3WKa062/3e5kqtVRV5Arle9HZtVlp1ntvekJmZWeI4792797J57K9j+7H0hpYtWyo2NlZjx47VN998U+57BQAEC9pf3m1/2edJSkpyOzvtr5/5avvL2bnsyfE5dOiQJGnIkCGOac5eU+Xx5HmuHH9n2+XKcXf1HHJV//79JV3qF9i1a5d69+7t9jK8/dm/q+3ZYD5PrFarFi5cWO4yjh49WmI/+OJ5U5H8/HzNmzdPVqvVsS4AKE+PHj20ZcsWvf/++9qzZ4/atWun2NhYnT171uxoAOCbzB6lBgAAAKDqnD9/3tixY4cxa9asEncKa9GiheNOYV988YXZMYEyeXJls+JXybNfkVKSERsb67iaVG5uruOxvLw8xxXs7FctLCgocEyzX23Pvtzc3Fzj4MGDlz1e0To8yW+/Yl5eXp5htVpLLKt4Zvv6CwoKDKvValitVse0pKSkElcGLL48+/P1v6sH2q9UWNb+KH2l0LKWYf8p7yqC5XF1/7u6ffasVqvVcSzsVyG0b2vp9Rb/sT8nISHBiIqKMgoKCoyCggIjKirK4yulOjt3XM3s6nyxsbFOrxiblJRU4Tz2K9IWv5uYt3O6SlwJ0iVcCRKBgitpBg7el4CKefJ+58+1jq+2+0vnKOtK9u5sY0W1lrM8peu8suq+YKsXDcN7tVlZ+8XZuV36NVfW9pe13LKmuVKnFX9eaRkZGYb0810E7POlpaWVeE3Zr/Rf3t0GyspW3jzFH7ffcbr4cl1ZVnloJ7iO9rHv4PMJ/0f7y/z2l73dYn9+QUGBS38jK9pG2l++2/4yDOfnsrP2uv13++fU9nPGarWWWE9Fr6mK2ljOXoueHn9n2+XKuevKOeTq69zO/rl/ee8nzmojb/ZRuNOeDdbzpPiySp8f9uNR/Pywb7uvnTflPZ6VlXVZVnfRPnMN9ZfvoL7znnPnzhnx8fFG/fr1jWbNmhlLliwxioqKzI4FAD6Fv/4AAABAALlw4YKRmZlpzJ49u8SgsOuuu45BYfA7nnxobf/iUmxsbIlOdXtHfumOjNKdL+VNK73c2NhYIyoqqkQnVHnrcFdaWpqjUykqKsrRsVRRZsO41LGTkJBQokOsrA4Ze3779hTvWCpr2cU7+eyZyuq4knRZJ5Uzru5/d7YvNzfXkTEqKsrRiZaUlFSioyk3N9exH4ofS7uUlBRHh2fpY+AOZ+eOu5mdzeesA7aiDseyHi8+jzdzuopOPtfQyYdAQSdp4OB9CaiYJ+93/lzr+Gq7v7y6xlMV1VrO8pSXpXSmYKoX7bxRm5V3DlZ0bpd+bbh6Hpc1zd06rbwf+zGzL/fgwYMljmt5511F63A2j13xL5ZW9rVDO8F1tI99B59P+D/aX+a3v+x/0+0/8fHxRkZGhtvbVhztL99tf9nzOzuXXWmv2weTSJcGx5XejxW9porvj9KDhlz57N7T4++s/8GVc9fZOeTO67z49pa1Llfbd97oo7CvzzBcb88G63liGJcGWaWkpJR4rVutViMhIaHM+X3pvKnoPdYbfwMk2meuoP7yHdR33nf8+HFj0qRJRq1atYzbbrvN2LJli9mRAMBnWAzDMAQAAADALxmGof379ystLU1paWnatm2bCgsL1bx5c/Xr1099+/ZV37591apVK7OjAm5bvny5IiIiRNkKBC+LxaLExESFh4ebHcWn8X6JQBERESFJSkxMNDkJKov3JaBivN8BCGa0E1zH3wvfwecT/o/XE+B/LBaLJNFmQIU4T4IX7TPXUH/5DtqjVefAgQOaOnWqNmzYoBEjRuill17iO1IAgl4tswMAAAAAcM+RI0eUlpam9PR0paenKz8/Xw0bNlTfvn01a9Ys9e/fX+3btzc7JgAAAAAAAAAAAAAAAABUiQ4dOig1NVUbNmzQ1KlT1bFjRz311FOKjY1V/fr1zY4HAKZgkBgAAADg47777jvHgLC0tDTl5ubqF7/4hXr16qVnnnlG/fr102233aYaNWqYHRUAAAAAAAAAAAAAPJafn1/i/02aNDExDXwV5wkAoLhBgwZpwIABSkhI0PPPP6/ExES99NJLeuihhxx3ngSAYMG3SAEAAAAfc/r0aX3wwQd66qmn1LFjRzVv3lyPPfaYDh8+rEcffVTbt2/X6dOnlZqaqpiYGN1xxx0MEAN8mMViceknkAT6Ngf69gH+ID8/X3PmzDE7RpWaM2eOCgsLzY4BAEC5Ar1dHOjbZxZv7leOEeAe6ijA/wX6375A3z6z+GP7q2nTpmX+HyiO8wQwB3UFfFmtWrU0adIkHTp0SCNGjNAjjzyivn37Kicnx+xoAFCt+CYpAAAAYLIffvhBGzdu1O9+9zt17dpVjRs31qhRo5SZmalhw4Zpw4YNOn36tLZu3arnn39ePXv2VO3atc2ODcBFhmG49BNIAn2bA337cElhYWGVfumkqpcfyPLz8/X888/LarU6piUnJyssLEwWi0XR0dElriLrqUWLFnl8jPLz8xUXF+f4YkxycvJl8xw9elTR0dGOzOnp6SUeHzBggCIjI72yLQAAVIVAbxcH+vaZxZv7lWMETwRrrUcdBQSGQP/bF+jbZxZ/bH9xzOEKzhOYJVhrCsk/6orisrOztWjRIkc+V9dHXeH/GjRooNdff127d+/Wf//7X91+++2aMmWKvv/+e7OjAUC1YJAYAAAAUM3Onz+v7du3a/r06erdu7caNmyoQYMGae3atQoNDdWKFSt0/Phx7dmzRy+++KIGDhyoevXqmR0bAICgsm3bNr9ezePBjwAAIABJREFUfqAqLCzU+PHj9fDDD6tNmzaSLnXeNWnSRCkpKTIMQ3369NH48eOVnZ3t8Xqys7M1ceJEj56bn5+vI0eOaMaMGTIMQ0lJSRo7dmyJK2sWFhYqOztbCxYsUEFBgfr06aN77rlHNpvNMU+XLl00bdo0jR8/nitWAgAAAF4SjLUedRQAAADgPcFYU0j+UVcUN2fOHMXFxenaa6/Vq6++Wu5g0rLWR10ROO644w5lZGTo9ddf17Jly9S2bVstX77c7FgAUOUYJAYAAABUMcMwlJWVpfj4eA0ePFgNGzZU79699fbbb6t169Z666239O2332r//v2aP3++RowYoQYNGpgdGwCAoFVYWKhFixb57fID2eLFi9WlSxf16NHDMW3ixIklruY4ZswY2Ww2xcXFebSOwsJCrVy50uOMR44cKZFvzJgxkqSYmBjHtG3btjmutBkSEuKYJywsrMSyevTooRYtWmjx4sUe5wEAAABwSbDWetRRAAAAgHcEa00h+UddYRcdHa2CggItW7ZMVqtVLVu2dHt91BWBo0aNGpowYYI+//xzDRs2TJGRkerfv78OHDhgdjQAqDIMEgMAAACqwNdff623335bERERuvbaa3XbbbfppZdeUoMGDTR37lx9+eWX+uqrr7RkyRKFh4erWbNmZkcGACAgFBYWKjk5WRaLRRaLRYsWLSrRQWWfbrFYyp0WHx/vuBK5fXp+fr5sNpvjy2eLFi2SxWJRdHS0Dh06VOnlS1JcXJzHHWfBID8/XzExMerXr1+J6QkJCWVe9a9FixYerWfx4sV66qmnPHqupBIdpJIcV5mMjY11TLN/sbG0qKioy6aNGjVKMTExJc5jAAAAINhQ63mGOoo6CgAAAJdQU3jOX+oKSY79NGPGDIWEhFRqfdQVgeWaa65RQkKCdu3apTNnzui2227Ts88+q7Nnz5odDQC8jkFiAAAAgBecPXtWNptNkydPVocOHXT99ddr0qRJOnHihGJiYvSPf/xDeXl5Wr58uSZMmKBf/vKXZkcGACAgRUZG6vvvv5dhGMrLy5PNZtP48eMdXzDLy8u77Dm5ubklfp8xY4bj/4ZhyDAMNW3aVGFhYbLZbMrMzNSECRNUUFAgSWrbtq2jo8/T5cO5jz/+WJLUqlWrEtMnTJiglJQUx+/2Y1HWFwWdSU9P1913360mTZpUIunPjh49qvj4eEmXzs3y2M/PIUOGXPaYfXvt2w8AAAAEI2o9z1BHUUcBAADgEmoKz/lLXZGdna2ZM2dqyJAhjsF6YWFhSk9P92h91BWBqXv37tq9e7fmzZunRYsWqX379vrggw/MjgUAXsUgMQAAAMADRUVFysjI0IwZM9S7d281aNBAw4cP144dO2S1WrVp0yadOnVKGzdu1DPPPKNbb721xBWhAACA96Wnp8tms+n++++XJDVp0kTTpk2TzWZTamqqY1ppLVu2dLrs4h1x9iuch4SEODq67Fd29HT50qXOv+IdgChp9+7dkpzvz2XLlikrK0tdunRxa/n5+fn68ssvL7uCvaeOHj2qG264QTNnzpT08zlSlr1798pqtap3796XPWa/0mXxK44CAAAAwYRaz3PUUdRRAAAAoKaoLH+pKzZv3izpUk77YL0WLVronnvuUWZmptvro64IXDVq1FB0dLS++OIL3XPPPXrggQf0wAMP6LvvvjM7GgB4BYPEAAAAABcdPnxYCxYs0MiRI9WoUSOFhoZq0aJFat26tZYtW6Zjx47p008/1YsvvqgBAwboiiuuMDsyAABBZcWKFZJKdrS1b99ekrR8+fIqWae9oysmJqZKlo+f2b8kWJH09HQ9+OCDbndAStKaNWs0YcIET6KVqWXLljIMQ1lZWYqNjVVMTIwWLVpU5rzz5s3TtGnTHB2OxdmncY4BAAAgWFHreY46yr+PHwAAALyDmqJy/KWusO9re4big/WWLl3q9vqoKwLfNddco7ffflsffvihsrKy1KFDBy1ZssRn7uIHAJ5ikBgAAABQjlOnTmnFihWaOHGibrrpJrVu3Vq/+93vVFRUpJkzZ+rzzz/X0aNHtWTJEo0ZM0aNGzc2OzIAAEFt4cKFl02zd+BUdPVxBI569ep51AFps9k0cODAKkh0qTMyMjJSkjRx4sTLHk9OTpbVavXalfcBAACAQEOtV7WoowAAABDoqCmqni/WFdLPA8bs50BVrw/+acCAAcrJydGvf/1rRUVFqX///jp8+LDZsQDAYwwSAwAAAP7n/Pnz2rJli6ZNm6Zu3bqpcePGCg8P1759+zRu3Dht375dp06d0po1a/Tkk0+qXbt2ZkcGAADFWK1WSVJ+fv5lj9mvFFhVqnr5cC45OdnjLwiGhYXphhtukMVicfzYFf+/p9q0aVPm9OzsbO3fv9+rV94HAAAAAg21XtWhjgIAAEAwoKaoWr5SV9j3dWFh4WWP2c+Bqq5j4L/q1aun+Ph4ZWRk6PTp07rlllv04osv6sKFC2ZHAwC3MUgMAAAAQS0nJ0dz587VkCFD1KBBA/Xv318rV67UnXfeqffff18nTpzQrl27NH36dPXs2VO1atUyOzIAAChHeHi4JOnIkSOOafaOoFGjRlXJOg8dOiRJGjJkSJUsHz+Lj4+XVHbnniSNGTPG42UbhnHZT/HHKsueOSkpyTEtPz9fmzdv1owZMxzTsrOzFR0dXeYyYmNjK50DAAAA8EfUep6jjqKOAgAAADVFZflLXWE/lv/6178c0+yZ7eeAJ+ujrgguXbt21SeffKLY2FhNnz5d3bp106effmp2LABwC4PEAAAAEFROnTqld999V4899piuv/563XLLLZo1a5auvvpq/e1vf9NXX32lQ4cO6bXXXtPw4cMVEhJidmQAAOCiwYMHy2q1avbs2Y6rQaampioqKkr9+/d3zGe/kqC9gy4zM9PxmP2LZcWvKjlnzpwS60lOTpZ0qWNp2bJlslqtjvkrs/y4uDjFxcV5vgMCnP0q8uV1Qpa3/+bMmSOLxaLs7OxKZ3BlWWFhYZozZ46OHj3qyBsfH6/Y2FhHR2l+fr7Gjx+vmJiYElervPXWWy/rMLYvp1u3bpXODwAAAPgjaj3PUUdRRwEAAICaorL8pa7o37+/YmNjFRcX5zjO7733nqxWq0cD2agrgletWrU0bdo0ZWVl6eqrr1b37t317LPP6scffzQ7GgC4hEFiAAAACGhFRUXKyMjQH//4R911111q0qSJHnroIX355ZeaOHGidu/erfz8fL377rsaP368brzxRrMjAwAAD4WEhGjx4sWyWq1q2rSpLBaLJOkvf/lLifl+//vfy2q1qm3btrLZbOrRo4esVquSkpI0ffp0SXJclfyVV15RZGRkiee3b99eYWFhql+/vlq2bKlly5Z5dfkoW/fu3SVJ3377rVvPKygoUFRUlFc6UF1Z1oQJExQTE6MbbrhBFotFixcv1tChQ0tc6f7555+XzWYr8/lt27Yt8bt9e+3bDwAAAAQbaj3PUUdRRwEAAICaorL8pa6QLu2/0se59HFwFXUF2rRpo48++kivvfaaEhISdMsttygjI8PsWADglMVw936cAAAAgI/7+uuvtWHDBm3YsEHp6ek6ffq0brzxRg0aNEgDBgzQgAEDuEMY4AeWL1+uiIgIUbYCwctisSgxMVHh4eFmR5EkR2eSr70vBdP7pf2qmVOnTnX7uWFhYUpJSfFKDm8uy5m4uDjVr1/fo232NxEREZKkxMREk5OgsoLpfQnwBO93AIKZL7YTfLXW89bfC+qoyvO1zyfgPtpfAAAEFl9rn/lqTeHN+ou6onJoj/q/b7/9VhMnTtSGDRsUExOj6dOnq27dumbHAoAycScxAAAA+L3//Oc/+vDDDzVlyhS1b99e119/vX7zm9/oxx9/1PTp0/X555/rq6++0oIFC/TAAw8wQAwAAMBPjR8/Xlu3blVmZqZbz8vMzNS0adO8ksGby3ImOztb2dnZGj9+fLWsDwAAAEDgoY4CAAAAUFnUFQh2zZs319q1a/X666/r9ddfV7du3ZSdnW12LAAoE4PEAAAA4Jf27dunuXPnauDAgWrUqJEGDhyozZs3y2q1avPmzTp58qTWrVunp556Su3atTM7LgAA8HP5+fll/h/VKyQkRIsXL9bs2bNd7nhJT09Xw4YN1aNHj0qv35vLcubQoUNauHChFi9ezEUOAAAAgCoSDLUedRQAAABQdYKhppCoKwC7iRMnKjs7Ww0aNFC3bt00e/ZsFRUVmR0LAEqoZXYAAAAAwBWnTp3S5s2btWnTJm3YsEFff/21GjZsqHvvvVcLFizQwIED1axZM7NjAgCAANW0adMS/zcMw8Q0wa1JkyZatmyZFi9erC5dujidv3///l5btzeX5YzNZtP06dPVpEmTalsnAAAAEGyCpdajjgIAAACqRrDUFBJ1BWB30003KT09XS+//LLi4uK0du1aLV26VK1btzY7GgBIYpAYAAAAfFRRUZF2796tjRs36sMPP9Tu3btlsVjUrVs3TZw4UYMGDdIdd9yhGjW4OS4AAKh6gdyp549CQkI0depUs2NUqUDfPgAAAMAXBFOtRx0FAAAAeF8w1RQSdQVgV6NGDcXExGjIkCEaN26cbr31Vr300kuaNGmSLBaL2fEABDkGiQEAAMBnHDt2TBs2bNCGDRu0adMmnTp1SjfeeKMGDBigqVOnasCAAdzKHQAAAAAAAAAAAAAAAABgqg4dOigjI0MzZ87U008/rTVr1mjJkiW6/vrrzY4GIIgxSAwAAACmsd8tLDU1VevXr9enn36qunXrqnfv3oqNjdXgwYPVrl07s2MCAAAAAAAAAAAAAAAAAFBC7dq1NX36dFmtVkVGRuqWW27RokWL9OCDD5odDUCQYpAYAAAAqtXx48cdg8KK3y1s0KBB+tOf/qS+ffuqXr16ZscEAAAAAAAAAAAAAAAAAMCprl276tNPP9UzzzyjUaNG6fHHH9fcuXN15ZVXmh0NQJBhkBgAAACqVPG7hW3YsEF79+5VnTp1uFsYAAAAAAAAAAAAAAAAACAgXHnllXr11Vc1YMAA/frXv9bOnTuVnJysjh07mh0NQBBhkBgAAAC87vjx4/rwww+Vmpqq1NTUEncL+8Mf/qB77rlHV111ldkxAfiJ0aNHV9myz5w5o5MnT+qqq65S48aNq2w9ADw3f/58rV692uwYPu3o0aOSqvb9EqgOK1asUHh4uNkxAKBaLF++XD/99JPZMQCg2lG/uO7jjz+WxL4CvIX2FwD4tp9++km1atWSxWIxOwr8BP1HzlF/+Q76P4LP8OHDdfvttysiIkLdunXTvHnzNGHCBLNjAQgSFsMwDLNDAAAAwL9dvHhRe/fulc1mc9wtrFatWurZs6eGDBmioUOHcrcwAG47duyYfvvb36qoqMgry7t48aJOnz6tEydO6MSJEzp58qTOnTunmjVrqmPHjmrbtq1X1gOg8jZv3qxOnTrp2muvNTsKgGoWGRkpq9VqdgxU0vLlyxURESG6H4Cy2Ww2LVu2zOwYACrh0KFDOnXqlHr06GF2FADVoGbNmpo7dy6fU/gx2l8A4NsMw9DmzZvVtGlT3XLLLWbHAYAqQf9HcLpw4YKmT5+u2bNn68EHH1RCQoJCQkLMjgUgwDFIDAAAAB4pfrewDz/8UMePH3fcLWzQoEHcLQyA6U6fPq1du3Zp586d2rFjhz755BP9+OOPatq0qUJDQ9WrVy+Fhobq9ttvV+3atc2OC6AYi8WixMRErqgHAH6KQWIAgEA3atQoFRUVadWqVWZHAQAAAALCsmXLNG7cOC1dulTjxo0zOw4AAF61ZcsWPfTQQ6pbt66SkpLUvXt3syMBCGC1zA4AAAAA/2AYhvbu3avU1FStW7dOe/bscdwt7JlnntGgQYPUuXNns2MCCGL/+te/tGPHDsegsAMHDujixYtq166dQkND9dhjjyk0NFRt2rQxOyoAAAAAAPBj+/bt0+jRo82OAQAAAASMyMhI7du3TxMmTFCbNm24ay8AIKD069dPWVlZeuSRR9SrVy/NnDlTzzzzjCwWi9nRAAQgBokBAACgXGfPntXGjRsdA8OOHTum6667ToMGDdLvf/977hYGwDRFRUX67LPPSgwK++abb1S7dm117dpVAwcO1MyZMxUaGqrGjRubHRcAAAAAAASIc+fO6fDhw+rYsaPZUQAAAICAMnv2bH3++ee6//77tXfvXl133XVmRwIAwGsaN26stWvXau7cufr973+vLVu26J133lGjRo3MjgYgwDBIDAAAACUcPnxYNptN69ev17Zt21RUVKRu3bpp8uTJGjx4sG699VazIwIIQoZh6LPPPtOWLVuUnp6ubdu2qbCwUCEhIerZs6eio6PVq1cv3XnnnbryyivNjgsAAAAAAALU559/rgsXLqhTp05mRwEAAAACSs2aNbVs2TL16tVLVqtVO3fuVL169cyOBQCA11gsFk2ZMkW9e/fWqFGjdOedd2rVqlV8Hw+AVzFIDAAAIMidP39eO3bs0Nq1a7Vu3TodOnRIDRs21L333qs333xTAwcO1DXXXGN2TABB6ODBg0pPT9eWLVu0ZcsWnThxQg0aNFDfvn01Y8YM9evXTx06dFCNGjXMjgoAAAAAAIJETk6O6tatqzZt2pgdBQAAAAg4ISEhWrVqlUJDQzVu3DitWLFCFovF7FgAAHhV165d9cknn2js2LEKDQ3VG2+8ocjISLNjAQgQDBIDAAAIQseOHVNqaqrWrVunTZs26cyZM+rYsaOGDx+uoUOHKjQ0VLVq0VQEUL2OHTumTZs2adOmTUpLS9O3336rq666Sr1799Zzzz2nfv366dZbb2VQGAAAAAAAMM2BAwfUtm1bPj8FAAAAqkirVq307rvvatCgQXrhhRc0ffp0syMBAOB1jRo1UmpqquLi4vTwww9r9+7devnll1W7dm2zowHwc3xyDQAAEAQMw9Ann3yi9evXa926ddq7d6/q1Kmjfv36afbs2Ro6dKhuvPFGs2MCCDL2Oxlu3LhRmzZtUlZWlmrXrq27775bkyZNUr9+/dStWze+dAUAAAAAAHxGTk6OOnXqZHYMAAAAIKD169dP8+fPV3R0tDp27KjRo0ebHQkAAK+rWbOmZs+era5du+rRRx/VP/7xD61YsULNmjUzOxoAP8Y37QAAAALU999/rw8//FDr16/X+vXrdezYMV133XUaNmyY4uLidM8996hevXpmxwQQZA4ePKhNmzYpNTVVW7du1Q8//KC2bdvq3nvv1cyZM9W7d29dddVVZscEAAAAAAAoU05OjqKjo82OAQAAAAS8xx9/XPv27dOjjz6qm2++WXfccYfZkQAAqBIjR45Uhw4dNGLECHXt2lXvvfee7r77brNjAfBTDBIDAAAIIIcPH5bNZtO6deu0fft2FRUVqXv37po8ebKGDBmiLl26mB0RQJA5f/68tm7dqnXr1mnt2rX68ssvFRISogEDBig+Pl6DBg3iToYAAAAAAMAvnDlzRkePHlXnzp3NjgIAAAAEhXnz5unzzz/X8OHDtXv3bu6sAgAIWO3atdPu3bv1yCOPqF+/fpo7d66eeOIJs2MB8EMMEgMAAPBjRUVF2rFjh9atW6eUlBQdPHhQDRs21H333ac333xTgwYNUqNGjcyOCSDI5OXlad26dVq/fr02btyos2fPqnPnzho9erQGDRqk0NBQ1apFOQoAAAAAAPzL/v37JUkdOnQwOQkAAAAQHGrWrKmVK1fqzjvv1IgRI/TRRx/piiuuMDsWAABV4uqrr9bKlSv14osv6je/+Y12796tN954g799ANzCt/IAAAD8TGFhoTZu3Cibzab169fr1KlTatu2raxWq9544w317NlTNWvWNDsmgCDz2Wefac2aNbLZbNq7d6/q1Kmjfv366cUXX9SQIUO4WxgAAAAAAPB7OTk5uvrqq/mcAwAAAKhG9evX19q1a9W9e3eNHz9e77zzjtmRAACoMhaLRc8995y6du2qMWPGqH///lq9erWaNGlidjQAfoJBYgAAAH7gyJEjstlsstls2r59uy5evKiePXtq2rRpCgsLU+vWrc2OCCDIGIah3bt364MPPtD777+vw4cPq0WLFho6dKhiY2M1YMAA1atXz+yYAAAAAAAAXrNv3z516tRJFovF7CgAAABAUGnbtq3effddDR06VJ06ddJzzz1ndiQAAKrUgAED9PHHH2vYsGHq0aOHbDabOnbsaHYsAH6AQWIAAAA+qKioSJmZmVq7dq1sNpv279+v+vXra9CgQXr77bc1cOBANWzY0OyYAIJMUVGRtm/frlWrVumDDz7Q119/rZtvvlkjR47UyJEj1b17d74kBQAAAAAAAtb+/fvVoUMHs2MAAAAAQWngwIGKj49XTEyMOnTooLCwMLMjAQBQpW6++Wbt2rVLo0aN0t1336333ntP9913n9mxAPg4BokBAAD4iLNnz2rjxo2y2Wxav369jh8/rlatWmnYsGGaP3++evfurVq1aL4BqF5FRUXatm2bkpKS9MEHH+jEiRPq3LmzHnvsMT3wwAO65ZZbzI4IAAAAAABQLXJycvgiKgAAAGCip59+Wvv27VNkZKR27Nihzp07mx0JAIAq1aBBA6WmpmrSpEkaOnSoXnnlFUVFRZkdC4AP41vGAAAAJsrNzdXatWuVkpKirVu36sKFC7rrrrsUExMjq9Wq9u3bmx0RQJD6+OOPlZSUpPfee0/fffed7rjjDsXExOiBBx5Qq1atzI4HAAAAAABQrY4dO6bjx4/zJVQAAADAZK+//roOHTqk4cOHKzMzU40bNzY7EgAAVap27dpatGiR2rRpoyeeeEKHDh3SX//6V9WsWdPsaAB8EIPEAAAAqtHFixe1Z88e2Ww2rV27VtnZ2fq///s/DRw4UIsWLdLgwYN1zTXXmB0TQJDat2+fkpKSlJycrCNHjqh9+/aKiorSmDFj1KZNG7PjAQAAAAAAmObAgQOSpI4dO5qcBAAAAAhuderU0fvvv69u3bpp1KhR+vDDD1WnTh2zYwEAUOWeeeYZ3XTTTRo3bpwOHz6s5cuX66qrrjI7FgAfwyAxAACAKvbf//5XaWlpWrNmjVJSUpSXl6cbb7xRVqtVf/3rX9WnTx8+sARgmvz8fCUmJuqtt95STk6ObrjhBo0ePVrh4eG69dZbzY4HAAAAAADgE3JyctS4cWM1bdrU7CgAAABA0GvcuLFSUlIUGhq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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tf.keras.utils.plot_model(model, to_file='./images/tsnasmodel.png', show_shapes=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 5. Experiment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "from hyperts import make_experiment\n",
    "from hyperts.datasets import load_network_traffic\n",
    "from sklearn.model_selection import train_test_split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = load_network_traffic(univariate=True)\n",
    "train_data, test_data = train_test_split(data, test_size=168, shuffle=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "model = make_experiment(train_data.copy(),\n",
    "                        task='forecast',\n",
    "                        mode='nas',\n",
    "                        tf_gpu_usage_strategy=1,\n",
    "                        max_trials=1,\n",
    "                        timestamp='TimeStamp',\n",
    "                        covariates=['HourSin', 'WeekCos', 'CBWD']).run()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_test, y_test = model.split_X_y(test_data.copy())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_pred = model.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Metirc</th>\n",
       "      <th>Score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>mae</td>\n",
       "      <td>1.6995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>mse</td>\n",
       "      <td>6.3345</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>rmse</td>\n",
       "      <td>2.5169</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>mape</td>\n",
       "      <td>0.2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>smape</td>\n",
       "      <td>0.1949</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Metirc  Score\n",
       "0    mae 1.6995\n",
       "1    mse 6.3345\n",
       "2   rmse 2.5169\n",
       "3   mape 0.2021\n",
       "4  smape 0.1949"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scores = model.evaluate(y_test, y_pred)\n",
    "scores"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "model.plot(forecast=y_pred, actual=test_data, interactive=False)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
